Category: Mobile

  • Putting the (ultra-low) Power in GeoFence

    Host-Offload GNSS Positioning

    By Miguel Torroja, Steve Malkos, and Christophe Verne

    Users of smartphones, tablets, and other devices expect position with the highest level of accuracy, always available, with the least amount of power consumed. One recent improvement fulfilling this demand involves operating-system services for location on smartphones, and the evolution towards lower power solutions.

    “Please connect to a charger — The battery is getting low: less than 15 percent remaining.”

    Handsets are battery-supplied devices, and a user’s tolerance for features is driven by battery consumption. There are many examples of technologies where users do not run certain hardware or features because it will consume the battery and make the phone useless within a short period of time.

    The application processor (AP) of a handset device is very powerful, and is the part that consumes most of the battery life. Today’s smartphone multicore application processor is faster than many desktop computers that are just a few years old. Whatever the application, when it uses the AP, it can draw up to hundreds of milliamperes (mAs).

    For the last few years, the trend for GNSS has been host-based positioning. Host-based designs have less logic on the GNSS integrated circuit (IC) and employ the host AP for a portion of the positioning computation. This strategy has three advantages:

    • Shares memory and code resources with the application processor.
    • Reduces the cost of the dedicated GNSS hardware.
    • Sharing the processor makes sense since it is already running.

    Traditionally, when the GNSS solution was running, a navigation application that utilized the AP was also running.

    However, when we only want to compute GNSS positions in the background, and we do not need a third-party application running on the AP, a host-based IC architecture is not the optimal solution with regard to system power consumption. This article explains some of the technologies used to compute a GNSS position using an ultra-low power (ULP) hybrid solution that combines the classic host-based GNSS architecture with a host-offload architecture that minimizes the use of the AP.

    We discuss here two applications that benefit from a host-offload architecture: geofencing and position batching.

    We will review the requirements for a platform to support a new hybrid GNSS positioning solution. Different host-offload technologies for geofence, such as GNSS, Wi-Fi, and Cell-ID, will be compared. Broadcom’s ultralow-power host-offload GNSS solution supports any operating system. We focus here on Android’s operating system because it is the most open OS.

    Always-on Applications

    Geofencing is an application that sends reports or triggers alarms when a predefined area is crossed. For example, users can be alerted to discounts with e-coupons when walking through a mall, or to “don’t forget the milk” — users can set their own reminder notifications based off of location; also, social networking. One example of location-based reminders is through Google Keep, which uses Android’s Geofence APIs on platforms that support hardware geofencing; this application will automatically take advantage of the hardware geofence solution.

    Geofencing applications run in the background for long periods of time, and their main task is to compute positions (fixes) without the need of assistance from other applications. An ultra-low-power GNSS position solution, or always-on positioning solution, is desirable for these scenarios. Typical applications require notifications when entering or exiting a geofence area, or require periodic reporting of user positions relative to the fence.

    Geofencing is not something new. API support has been provided in mobile OS for many years, but only now can it be used without draining the battery, thanks to this new host-offload architecture.

    Figure 1 shows a circular geofence boundary and an alarm. In that example, the alarm was triggered when entering the fence.

    Figure 1. Alarm when the vehicle enters a geofence area.
    Figure 1. Alarm when the vehicle enters a geofence area.

    Breadcrumbing or position batching pertains to storing of positions, referred to as crumbs, which are accumulated for a certain amount of time and then pushed all at once to the application. Examples would be fleet or asset tracking applications, or people that wants to track their position while they are running.

    Currently, Android does not support breadcrumbing as a native feature. There is some ongoing work, and APIs are being defined.

    GNSS Positioning Models

    Before smartphones, the dominant GNSS hardware architecture employed a system-on-chip solution. The position/velocity/time (PVT) comes directly from the hardware, and all the computations are done in the GNSS IC.

    On-Chip Positioning requires two things: a powerful-enough central processing unit (CPU) and lots of memory. The increase in CPU and memory performance are not free; they translate directly into more power and higher manufacturing costs.

    The RF block in Figure 2 is intentionally drawn with a similar size to the CPU and memory, to emphasize the need for higher resources for a complete on-chip solution.

    Figure 2. On-chip solution.
    Figure 2. On-chip solution.

    Host-Based Solution. GNSS positioning requires dedicated hardware, complex software, and protocols. This complexity led GNSS providers to move parts of the software out of the IC to the AP.

    Using a mobile phone’s AP for position computation is one method of reducing the CPU and memory power footprint from the GNSS IC. At the same time, it also increases the power consumed by the platform needed to compute GNSS position, since part of the computation is not performed on the host-based IC. APs may consume approximately 100 mA just to be operational.

    Figure 3 shows a typical configuration with dedicated GNSS hardware and a generic AP. In host-based mode, both the AP and the GNSS IC run in parallel when computing positions. The AP controls the GNSS hardware.

    Figure 3. I/O connections in on-host positioning.
    Figure 3. I/O connections in on-host positioning.

    With this type of shared architecture, shown in Figure 4, the CPU and the memory on the GNSS IC are reduced, shrinking the size of the chip and reducing power consumed by the chip. In Figure 4 we see that the AP is communicating with the dedicated hardware, and the final PVT is computed by the AP. This solution fits well in many applications, such as navigation, where the AP has to run a mapping application at the same time.

    Figure 4. Host-based solution.
    Figure 4. Host-based solution.

    Hybrid Positioning. For geofencing, we need a hybrid model, one which keeps GNSS IC complexity similar to the host-based architecture, but also offloads some of the host-based positioning so that the host can go to sleep.

    In Broadcom’s hybrid mode, the AP does not need to run when GNSS positions are computed. Broadcom’s hybrid IC does not invoke the host AP often, and thus achieves an even lower power footprint. The CPU on the GNSS IC used for computing position is a dedicated one. It needs to be carefully chosen because it has to be powerful enough to compute positions and be as power efficient as possible. All this is done while keeping the GNSS IC area size in mind, to control cost.

    Detailed analysis and steps were considered to ascertain the minimum requirements for the CPU and other resources to best accomplish the on-chip positioning task.

    Other considerations: the GNSS IC must be powered even when the AP is suspended, and the GNSS IC must be capable of waking up the AP. Figure 5 shows a possible implementation using a dedicated I/O signal controlled by the IC to wake up the host AP.

    Figure 5. I/O connections in hybrid positioning.
    Figure 5. I/O connections in hybrid positioning.

    With this architecture, the host AP will still be needed to provide some assistance data to the GNSS IC. The assistance provided allows the GNSS IC to not invoke the host AP often and thus achieve an even lower power footprint.

    Geofencing Methods

    Certain OS application APIs have been supporting geofencing for many years. Currently, we can find geofencing APIs in most of the mobile OSs in the market.

    There are four main types of geofencing: GNSS software geofencing, GNSS hardware geofencing, network software geofencing, and network hardware geofencing (Table 1).

    Table 1. Geofencing methods.
    Table 1. Geofencing methods.

    GNSS Hardware Geofencing. In this method, the one described in detail in this article, the OS initiates a request and offloads the areas of interest to the hardware. After that, the AP can go to sleep and the hardware is responsible for computing positions and checking the areas of interest. This method basically relies on GNSS hardware to compute positions and check the programmed fences.

    GNSS Software Geofencing. Here, the OS initiates regular fixes to a host-based GNSS IC design. Then it invokes both the AP and the GNSS IC at the same time to check against the defined fence areas.

    Network Geofencing. In this method, the OS requests network IDs from the hardware (that is, baseband modem Cell-ID and Wi-Fi access points). The OS uses different positioning technologies to compute position. This usually requires a connection to a server to retrieve location information about the different IDs. The position is used to check the geofences.

    In network hardware geofencing, a set of network IDs is offloaded from the OS to the network hardware ICs. The hardware can poll for these IDs, and wake up the host when found.

    Network versus GNSS Geofencing

    A good geofencing solution combines both network and GNSS methods because each solution benefits from each other.

    GNSS positioning solutions compute positions in open-sky environments with accuracy to a few meters and have worldwide coverage. However, they cannot work in deep indoor spaces.

    Network geofencing using cell IDs is quite inaccurate, but works very well indoors. Network geofencing using a Wi-Fi access point provides reasonable accuracy, but location of the access points is not always known and it does not have full coverage.

    Geofencing in Android 4.3. The API for applications supports geofencing. Starting from the first version of Android, the application just initiates a proximity alarm and will get an event when its boundaries are crossed. The OS is responsible for notifying the application when such an event occurs, and can use any technologies it sees fit.

    The API that applications use is very simple. The monitoring is handled by the OS and is hidden to the application (for example, technologies, periodicity of checks, and accuracies).

    Software Geofence in Android. Software geofencing has been the default method until recently, as there was no native hardware support. In this mode, the host-based GNSS positioning engine is started like any other position request. The Android framework is the one dealing with the monitoring of the geofences, and therefore, the AP must run continuously to handle periodic position checks. That means the software-geofencing logic is mainly in the framework layer of Android (see basic layers diagram shown in Figure 6).

    Figure 6. Android framework.
    Figure 6. Android framework.

    More recent versions of Android dropped the support for software-based geofencing in favor of a host-based GNSS system, likely because of the big impact on the battery. Broadcom developed a low-power GNSS hardware solution for geofencing.

    Hardware Geofence in Android. Starting from Android 4.3, a new interface is available to use hardware geofencing. This interface is not visible to the application, and it is only used as a low-level interface. To support the new hardware-geofence interface, the native driver only has to register to a new GNSS interface defined in the native hardware abstraction layer (HAL) of Android.

    There are other protocols known to support geofencing. Table 2 provides a short list.

    Table 2. Geofencing support on different platforms.
    Table 2. Geofencing support on different platforms.

    Broadcom Hybrid Positioning

    Android defines interfaces to the hardware, referred to as the HAL.

    GNSS Host Software. GNSS providers need to comply to the HAL interface, which is at the Java native interface (JNI) level. Below the JNI lies the GNSS host software (Figure 7).

    Figure 7. Android detailed framework/native layers.
    Figure 7. Android detailed framework/native layers.

    For the host-based solution, the GNSS host software handles most of the heavy computing.

    For the hybrid solution, the GNSS host software does some of the heavy computing, but positions are computed inside the GNSS IC.

    To support this new hybrid solution, two main changes are required compared to the usual host-based solution, as described below.

    First, the hybrid GNSS IC must be autonomous while the host AP is sleeping. This implies that some power domains are maintained when the GNSS is in use. This typically means at least one of the outputs of the power management unit (PMU) should be dedicated to the GNSS only (Figure 8).

    Figure 8. Power domains.
    Figure 8. Power domains.

    Second, the GNSS IC must be able to wake up the host AP so as to send geofence notifications, or to request assistance data. This is usually done through a dedicated pin.

    Acquisition and Sleep Period. Most of the power in the GNSS IC is used by the radio and analog part. To reduce power, this part is switched on only during acquisition. As soon as enough measurements are observed, the radio part is switched off while the digital part computes a fix.

    After each computed position, the GNSS IC can go into a deep power-saving mode until the next acquisition. The distance to the closest fence in conjunction with the user speed is used to determine when to compute the next position (Figure 9):

    M-E1

    Figure 9. Start fix decision logic.
    Figure 9. Start fix decision logic.

    Once the GNSS IC starts computing positions, the AP can go into sleep mode (Figure 10). Total power per position computed is reduced, and the time between fixes is no longer constant, as shown in Figure 11.

    Figure 10. Sleep time between fixes.
    Figure 10. Sleep time between fixes.
    Figure 11. Duty cycling.
    Figure 11. Duty cycling.

    In Figure 12, the lower square-shaped pattern corresponds to a position computation from the hardware GNSS IC. Once we have an alarm, the host has to be woken up and we can see the impact in power in the big peaks after a position is computed.

    Figure 12. Power graph.
    Figure 12. Power graph.

    Alarm Triggering

    When a geofence area is crossed, the GNSS IC needs to wake up the AP. This is achieved using a dedicated interrupt pin. After asserting it, an alarm and geofence status is sent to the AP.

    M-ChartPower Consumption. We calculate the total average current by splitting it into three components, as shown in the following formula:

    M-E2

    Some of these parameters are set by the host: for example, how often the fix should be computed. The extra current drained by the GNSS IC is the one defined by

    M-E3

    ∆I is the change in current drain when computing positions.

    We can also express this formula based on the average number of position attempts:

    M-E4

    where Tp is the average time between fixes (the time the GNSS IC stays in sleep).

    Table 3 illustrates some theoretical I current savings with respect to Tp.

    Conclusion

    As APs become faster and faster, their power consumption goes up. A novel hybrid GNSS receiver has been presented, which offloads some of the host-based processing into the GNSS hardware, offering ultra-low system power consumption versus the traditional methods. The new hybrid positioning solution is a good approach for always-on applications that need to have location information always available, without requiring the host to be running, as is the case with geofencing and breadcrumbing.

    References

    We would like to thank Jason Goldberg, Frank van Diggelen, and Manuel del Castillo, all of Broadcom, who reviewed this article and spent many hours with us discussing the topics point by point.


    Miguel Torroja is a principal software developer at Broadcom. He has an M.Sc. in electrical  engineering from Ramon Llull University, Barcelona. Since 2011, he has been working on the design and development of algorithms for optimizing power consumption in GNSS host-offload solutions.

    Steve Malkos is a senior program manager at Broadcom.  He has a B.S. in computer science from Purdue University.  He has been active in the development of A-GNSS technologies such as hybrid location services, long-term predicted orbits (LTO), Broadcom’s worldwide reference network (WWRN), and secure user-plane location (SUPL). He has five patents issued and 16 pending.

    Christophe Verne is a manager of software engineering at Broadcom. He has an M.S. in electrical engineering from Ecole Centrale, Paris. He has been involved in the development of GNSS and A-GNSS technologies at EADS, Sagem, Global Locate, and Broadcom, where he has been working on low-power host-offload positioning.

  • FM Series GPS Receiver Module Brings High-Position Accuracy in Small Package

    FM Series GPS Receiver Module Brings High-Position Accuracy in Small Package

    Photo: Linx Technologies
    Photo: Linx Technologies

    Linx Technologies announces its launch of the self-contained, high-performance FM GPS receiver modules. At 15 x 13 millimeters in size, the MediaTek MT3339-based FM Series gives the module fast lock times and high position accuracy even at low signal levels, the company said.

    The module’s very low power consumption helps maximize run times in battery powered applications, such as positioning and navigation, location tracking, marine, and asset management, according to Linx Technologies.

    Using the built-in MediaTek MT3339 chipset, The FM module can simultaneously acquire on 66 channels and track on up to 22 channels, providing standard NMEA data messages through a UART interface. A simple serial command set can be used to configure optional features.

    The GPS receiver is completely self-contained and only requires an antenna. It powers up and outputs position data without any software set-up or configuration. As a result, the FM Series is easy to integrate, the company said.

    With built-in hybrid ephemeris prediction technology, the FM Series predicts satellite positions for up to three days and delivers start times of less than 15 seconds under most conditions.

    In addition, the available GPS Master Development System connects a FM Series Evaluation Module to a prototyping board with a color display that shows coordinates, speedometer and compass for mobile evaluation. A USB interface allows simple viewing of satellite data and Internet mapping, as well as custom software application development.

  • Microsemi Corporation to Acquire Symmetricom

    Microsemi Corporation has entered into a definitive agreement with Symmetricom to acquire the precision time and frequency company for $230 million. Microsemi is a provider of semiconductor solutions differentiated by power, security, reliability and performance.

    Microsemi, headquartered in Aliso Viejo, California, will pay $7.18 per share through a cash tender offer, representing a premium of 49 percent based on the average closing price of Symmetricom’s shares of common stock during the 90 trading days ended October 18. The board of directors of Symmetricom unanimously recommends that Symmetricom’s stockholders tender their shares in the tender offer. The total transaction value is approximately $230 million, net of Symmetricom’s projected cash balance at closing.

    Headquartered in San Jose, California, Symmetricom provides highly precise timekeeping technologies and solutions that enable next-generation data, voice, mobile and video networks and services. It provides timekeeping in GPS satellites, national time references, and national power grids as well as in critical military and civilian networks.

    “The acquisition of Symmetricom will create the largest and most complete timing portfolio in the industry today,” stated James J. Peterson, Microsemi president and chief executive officer. “From source to synchronization to distribution, Microsemi will offer an end to end timing solution for an expanded range of markets, driving increased dollar content opportunity and revenue growth.”

    “The acquisition of Symmetricom by Microsemi will create a powerful combination,” said Elizabeth Fetter, Symmetricom’s chief executive officer. “I believe Microsemi is the ideal company to leverage Symmetricom’s technology and capabilities further into the communications market along with the scale to accelerate the adoption of the company’s innovative new chip scale atomic clock (CSAC) technology into broader markets.”

    Microsemi expects significant synergies from this immediately accretive transaction. Based on current assumptions, Microsemi expects the acquisition to be $0.22 to $0.25 accretive in its first full calendar year ending December 2014.

    Microsemi reaffirms its fiscal fourth quarter guidance included in its fiscal third quarter earnings release issued on July 25. Microsemi currently intends to announce its fiscal fourth quarter results on November 7. Further details will be forthcoming.

    Tender Offer and Closing. Under the terms of the definitive acquisition agreement, Microsemi will commence a cash tender offer to acquire Symmetricom’s outstanding shares of common stock at $7.18 per share, net to each holder in cash. Upon satisfaction of the conditions to the tender offer and after such time as all shares tendered in the tender offer are accepted for payment, the agreement provides for the parties to effect, as promptly as practicable, a merger which would result in all shares not tendered in the tender offer being converted into the right to receive $7.18 per share in cash. The tender offer is subject to customary  conditions, including the tender of at least a majority of the fully diluted shares of Symmetricom’s common stock and certain regulatory approvals,  including the expiration or termination of the applicable waiting period under the Hart-Scott-Rodino Antitrust Improvements Act, and is expected to close in Microsemi’s fiscal first quarter, ending Dec. 29, 2013. No approval of the stockholders of Microsemi is required in connection with the proposed transaction. Terms of the agreement were unanimously approved by the boards of directors of both Microsemi and Symmetricom.

    Under the terms of the merger agreement, Symmetricom may solicit superior proposals from third parties for a “go shop” period that extends through November 8. It is not anticipated that any developments will be disclosed with regard to this process unless and until Symmetricom’s board of directors makes a decision to pursue a potential superior proposal. Jefferies LLC, which is acting as Symmetricom’s financial adviser, will assist Symmetricom with Symmetricom’s go-shop process. There are no guarantees that this process will result in a superior proposal.  The merger agreement provides Microsemi with a customary right to match a superior proposal. The agreement also provides for certain termination fees payable to Microsemi in connection with the termination of the agreement in certain circumstances.

    Conference Call. Microsemi will host a conference call, solely to discuss details of the transaction. A live webcast relating to the transaction will be available in the “Investors” section of Microsemi’s website at www.microsemi.com in advance of the conference call.

    Conference call date: Oct. 21, 2013
    Time: 1:45 p.m. PDT (4:45 p.m. EDT)
    Dial-in numbers:  U.S. 877-264-1110; international 706-634-1357
    Passcode: 90095902

    A webcast of the conference call will also be available in the “Investors” section of Microsemi’s website at www.microsemi.com.

  • u-blox, ARM Join Forces on Location-Aware Prototyping Kit

    u-blox, ARM Join Forces on Location-Aware Prototyping Kit

    Photo: u-blox
    Photo: u-blox

    u‑blox and ARM, a semiconductor IP company, have joined forces to create a prototyping kit for designing wirelessly connected, location-aware Internet devices: the ARM mbed-enabled u‑blox C027 “Internet of Things (IoT) Starter Kit.”

    “The Internet is reaching into every aspect of our lives, connecting everything from smartphones and tablets to devices for security, safety, surveillance, navigation, healthcare, convenience, and fun,” said Michael Amman, vice president of Platform Partnerships at u-blox. “To help engineers jump start their design of these types of Internet-connected devices, the C027 delivers out-of-the-box wireless Internet connectivity based on a compact u-blox 2G, 3G or CDMA cellular modem plus global positioning module. Together with the ARM Cortex-M3 32-bit processor and access to all the resources of the ARM mbed project, this is an extremely powerful and flexible prototyping tool.”

    “This new kit will enable developers to join the ARM ecosystem and quickly move prototypes of intelligent ARM-based technology into production-ready designs,” said Charlene Marini, Vice President, Embedded Segment, ARM. “It brings together u-blox’s embedded cellular wireless and global positioning modules with the energy-efficient, high-performance ARM Cortex-M3 processor and the ARM mbed development platform. This exciting combination can drastically reduce the time required by manufacturers to build carrier-certified gateways, which will help to accelerate the Internet of Things.”

    The compact C027 kit, measuring 54 x 98 millimeters, contains a u-blox “SARA” GSM or “LISA” UMTS/CDMA cellular modem, “MAX” GPS/GNSS positioning module, and an ARM 32-bit Cortex-M3 microcontroller with 512k of Flash Memory and 64kB RAM, user programmable via USB. CAN bus and Ethernet interfaces are provided. The board also provides direct connector with 22 GPIOs to access components via I2C, SPI, UART, and I2S digital audio. The C027 is an mbed-enabled board with Arduino-compatible connectors which can be easily stacked with additional expansion boards. A complete circuit diagram is provided with the kit.

    To make development easier, the hardware is supported by the powerful and flexible open-source ARM mbed development platform, which provides free software libraries, hardware designs and online tools for professional and rapid prototyping of ARM-based designs. The platform gives access to a high-level standards-based C/C++ SDK for developing applications on the u-blox C027, a large component database of drivers for peripheral components that can be connected to it, and online compiler and developer tools for efficient reuse and collaboration on designs to create products quickly.

  • Webinar Transcript: Mobile Means Business

    In July, GPS World aired a webinar on technical and market aspects of mobile computing. The audio portion and slides of that webinar are still available for download at env-gpsworld-integration.kinsta.cloud/webinar. The following is a complete transcription of the speakers’ remarks.

    Alan Cameron (GPS World): Every computer a mobile computer — that’s the vision of the future, a future that is rapidly approaching. That’s also the title of an article in this month’s issue of GPS World magazine, in which both of our speakers here with us today were quoted. And some of their comments were so interesting that I wanted to take the opportunity to explore their expertise and perspectives a little bit further, and so I invited them to speak on this webinar.

    The introduction to the July article in GPS World states: “Precise location moves with the demand of business. Organizations across business and public sectors, including the military, now expect a high degree and broad range of functionality in the palms of workers’ hands, wherever those workers may go, in any kind of hazardous, chaotic, demanding signal environment. Requirements for location accuracy rise consistently across the board. In the future—in other words, now—developers will be asked to write mobile software applications first, and desktop applications second.”

    As I mentioned, both of our speakers were quoted in that article. David Krebs from VDC Research gave an analysis of the mobile enterprise market, and as a subset of that, the location aspect of it. The article then covered some technical aspects of product design for that market, and Cary Kiest from Trimble is an expert on that and will be sharing his perspective. Now for David Krebs, vice president of VDC Research. David?

    David Krebs (VDC Research): Thank you for the invitation to participate in today’s session. A very exciting topic and a topic that obviously is very close to the work that we’re doing here at VDC Research.

    Before I get into some of the observations and some of the details that we think are relevant with respect to the theme of enterprise mobility and the value and the importance of accurate and real-time location information, just a brief introduction maybe to VDC Research. We are a full-service independently owned research organization located just outside of Boston, in Natick. The business has been around for the last forty years, and I head up one of three practices areas at VDC, and the focus of the work that I’ve been doing for the better part of the last ten years is around the topic of enterprise mobility and government mobility solutions. And most specifically, we are really looking at how commercial and government public sector organizations are leveraging mobile and wireless technologies to support not only their frontline mobile workers, but also as a way to now increasingly engage with and interact with their customers, and ultimately operate their business in a more streamlined fashion. While historically mobility has perhaps been more of a line of business point solution, as Alan had suggested and certainly as research evidences, there really is no end to its impact in today’s organization. It’s really influencing just about every possible facet. So it’s a really interesting time, a really exciting time to be in this space.

    Slide1

    So what is enterprise mobility? And I’m using the term enterprise somewhat loosely here: really, what we’re referring to is the use of mobile within any sort of commercial or government organization. But ultimately what it’s about—it’s, in our sort of rawest definition, it’s about leveraging smart and connected mobile devices to enable, to support real-time decision making, real-time transaction processing amongst remote mobile workers. And this really has or can be interpreted in any number of ways. It can mean, you know, operating your delivery functions more expeditiously; it can mean ensuring that first responders that are on the scene have access to situational awareness so that they can go about their jobs in the most efficient and safe manner. It can mean that construction workers that are surveying a site have access to all the necessary information to make those critical decisions and be able to track those decisions. So it really is, it’s a pretty multifaceted discipline in terms of the organization today.

    And the way that organizations are operating today is certainly taking advantage of this evolution, this revolution, this redefinition in terms of the way that we’re working, the way that we’re collaborating, the way that we’re interfacing. When we’re looking at sort of base developments around today’s workforce, I mean, one of the statistics and one of the things that we track is, you know, what is the makeup of today’s workforce? And today’s workforce is inherently increasingly mobile. Based on our research, we estimate that about a third of today’s workforce is what we would describe or classify as a mobile worker—in other words, spending the majority of their time away from sort of a fixed or physical location. And to be able to do that and to be able to still be productive and be efficient—be untethered, if you will—they need access to information. They need to be able to make decisions in this increasingly distributed fashion and in a real-time sense.

    The advances that we’ve seen in mobile technology, especially over the last three to four years, the advances that we’ve seen in wireless infrastructure, the advances that we’ve seen in performance of mobile devices from a processing and battery life capability, and just basic cost of adoption trends, is just making this technology increasingly available to organizations. And to one of Alan’s opening points, you know, when we’re looking at applications, when we’re looking at how are we designing enterprise systems, more often than not, the question of the need to expose, the need to access critical information through a mobile device, using a mobile device, is high up on that decision list as we’re making critical IT investments. So exposing enterprise databases, exposing enterprise information, asset information on mobile devices, customer information on mobile devices, is something that organizations are spending a lot of time thinking about and a lot of time investing in.

    Slide2

    And it really is quite interesting in terms of the transformational nature from the way that organizations are operating. It’s not just about—and we’ll talk a little bit about this in a couple of slides—it’s not just about looking at creating a more efficient and more productive workforce. It increasingly also is about how are we using mobility to engage with customers. So the whole aspect of the B to C or B to B to C channel—how are we delivering services to our employees in terms of mobile HR capabilities is also again a function of mobility that is increasingly being introduced. And within organizations, it’s also transformational from the standpoint of our ability or an organization’s ability to create and to open up value-added services that can be hooked into or connected to certainly advances in mobile and connected endpoints. So enterprises are looking to transport products into services if you will, are looking to overlay service capabilities in terms of leveraging mobile, leveraging sensor technology, leveraging location technology to deliver a much richer and a much more real-time experience. And location has a lot to do with this; location is one of the sort of the critical data points, the critical sensor points that add a lot of value and a lot of actionability to the data that is being accessed, that is being driven. So location is certainly critical, is increasingly critical, as one of the elements that organizations are looking to integrate within their mobile solutions.

    But again, one of the trends that is important to, I guess, follow or at least play off here is the scale at which devices are connecting to the Internet, and use that as maybe a backdrop, use that maybe as a way through which to interpret and to understand sort of the massive power of mobility. And, you know, traditionally, dating back to the mid-90s, it was a very PC-centric sort of value proposition. It was a very stationary value proposition. You as the individual had to physically go to the PC, to the stationary device, to access information on the Internet, to get to the Internet-abled solution. And that scaled to about two hundred million-plus units. What we’re in the midst of right now is really the next wave, and really, I wouldn’t say the tail end, but certainly we’re well into it.

    Slide3

    Where we’re seeing mobility and certainly the whole impact and the trend of consumerization being certainly important here, whereby we’re achieving a much higher degree of personalization. And it’s really about something that you take with you and that provides access in a very mobile way, in a very distributed way, and the services that are being enabled through that. And as we evolve that, as we get to sort of the idea of, sort of the age of connective devices, where we’re getting information about remote assets that we can now manage more predictively, where we can get sort of real-time intelligence on the way that, you know, our products and our services are being consumed. And it really introduces some really valuable, you know, propositions in terms of the use of time and the impact of time, because that’s the one resource that we ultimately cannot duplicate. And how do we at best manage this very important resource? And I think that this is really fundamentally where we’re seeing a lot of this change happen.

    But going to sort of the trends with regards to mobility and sort of consumerization, there are a couple of important points to make here, especially in the context of sort of the core audience when we’re looking at enterprise mobility. So consumerization has, I guess, a lot of many different meanings, depending on who you’re talking to, but fundamentally, what’s happened over the last four or five, six years, especially with the advent of much more powerful smartphones and more recently powerful tablets, is that we’ve seen consumer technology really take a more leadership role in terms of dictating what our expectations are in terms of what a mobile device should look and feel like and how we should interact with it. And certainly we’ve seen some really really phenomenal advances in terms of ease of use, in terms of immersive user experiences, in terms of ergonomics, and quite frankly also in terms of adoption cost. With a massive scale of mobile devices that are being consumed, certainly the cost of the individual components have come down substantially. So the access to this technology, this is very powerful technology, and the barriers associated with it have lowered considerably.

    Slide4

    Now what does that mean for the enterprise worker? What are trends—or the enterprise decision maker, if you will. What do trends such as BYOD and sort of what we’ve seen now with sort of the plethora or the multitude of different operating system platforms—how do I translate that from an enterprise perspective? One of the things that we always come back to, especially in the work that we’re doing, especially for what I might consider the more mission-critical or business-critical field worker, the requirements will differ significantly from worker type to worker type. And, you know, a lot of times what’s happening with regards to consumer technology is in conflict with sort of the goals and the requirements that an enterprise mobility field solution will look to support. And some of the important things to take into consideration is certainly the environments that we’re operating in, the sensitivity if you will or the level of accuracy of location is concerned—I mean, certainly GPS technology and the integration of it in consumer technologies has advanced considerably, but there are different types of location technologies with varying levels of accuracy and obviously implications in terms of the ability to use them as enterprise tools. And then also, you know, considering things like the environmental impact in terms of the durability of the device, in terms of using the device in sort of direct sunlight, using the device that might be exposed to wet or humid conditions, can it sustain that. So we’re trying to balance those enterprise requirements with these advances in sort of ease of use and advances in sort of ergonomics and trying to sort of meet in the middle. Certainly we do expect sort of more enterprise-oriented solutions to embrace and to integrate the UI and the UX experiences that consumer devices have made so popular, but deliver it in a package that is still fundamentally addressing sort of the critical requirements amongst enterprise users.

    So what is ultimately driving mobility investments? And again, as I mentioned before, the investment drivers have changed, but have traditionally really been around how can I insure that my workforce is optimizing their productivity; how can I insure that they have the critical information they need at their fingertips when they’re out in the field, in terms of service tickets that they might be managing, in terms of assets that they might be supporting. So asset management, utilization, workforce productivity, line of business, things like supply chain optimization, have all been, you know, very important sort of drivers with respect to enterprise mobility investments.

    What we have seen more recently is that we’ve certainly seen organizations, certainly forward-thinking organizations optimize against some of these drivers and some of these capabilities, and now we’re starting to see some very interesting, maybe not secondary, but additional benefits come to the fore. And it’s really now about how am I engaging with my customers to deliver better or improved levels of service, to deliver improved loyalty. How am I leveraging what I’m doing with my field workers to potentially even drive innovation in the way that we are delivering services, in its impact in, you know, product design decisions and decisions that might happen more upstream in the organization? So by connecting our entire workforce, by connecting service lifecycle management with product lifecycle management, we have a much more sort of integrated and a much more cohesive story to tell, and fundamentally a much more dynamic and competitive organization and environment.

    Slide5

    Now, in terms of location within—and again, I understand that I’m speaking somewhat at a high level in terms of talking about field workers, and field workers can be anyone from a utility service technician to a delivery driver to someone responsible for surveying in an agricultural or mining setting, so it’s a pretty broad swath of mobile workers that we’re talking about. But in terms fundamentally of sort of consistent themes that we’re seeing across this base of mobile workers, in terms of the factors that are driving investments in location, in location services, they’re very consistent with overall mobile investment drivers and benefits. And specifically we’re talking about, again, resource utilization; we’re talking about enhancing the speed of service delivery, if it’s a service technician or a service-based workflow, as well as reducing the cost of service, especially today with high cost of fuel and high cost of manpower—we want insure that we’re maximizing it. Compliance and safety are critical requirements that are often overlooked, but especially with a lot of field workers, they are being exposed to environments that, you know, we want insure that they are as safe as they possibly can be. So using mobility and mobile solutions and location technology to increase that worker safety are some really dynamic and really interesting value propositions that we’re seeing. Disaster response—I mean, there are some really important things in terms of not only coordinating response services, but providing access to real-time data and real-time information around weather. You have a mash-up of various information that you’re looking to deliver to these early responders, these first responders, and to also second responders; it’s very important that they’re being delivered with as much location accuracy as possible. Construction and surveying—critical in this context with regards location has-been and that really is sort of fundamental within the processes that they’re supporting. But to be able to do it and deliver it through a mobile device and a mobile solution that is much more ergonomically interesting and much more intuitive is certainly what we’re seeing today.

    So in looking at sort of the two faces of location within enterprise mobility—because there really is a little bit of a dichotomy here in terms of the importance and the value relative to, you know, what the actual situation is today. You know, what we’re seeing today within, or at least the research that we’ve done within, organizations with considerable field operations, that the penetration of location to track things like service vehicles is about fifty percent of organizations today, whereas fewer than a quarter are tracking resources and assets. So there’s still a relatively low, moderate, I guess, level of penetration from that perspective. However, when you look at it from the standpoint of what is important to you as a decision maker when looking at making mobile investments, GPS functionality location capabilities is the second most important I/O capability for field applications, according to our research. On top of that, you know, GIS and mapping information is cited as—in this context or in this specific scenario amongst utility workers—as the most important mobile application that they’re going to be delivering.

    So we have, you know, a scenario where we certainly are exposing and we certainly are seeing a great demand and a need for location and GPS technology. However, on the flip side—and this is really where the other face comes into it—we’re still dealing, perception’s probably the wrong word, but certainly awareness is an apt classification, where the integration of—and in this case, I’m using GIS as the example—the integration of GIS capabilities is still very limited within enterprise systems today. Ten percent or less of GIS organizations today claim that GIS is still very integrated within enterprise systems. And really the fundamental reason behind this, according to respondents, is really it’s about not only awareness, but also lack of resources. Seven in ten organizations cite that this is sort of the primary barrier for the adoption of location services within their operations. They might understand the value, but the resource issue is fundamentally there, and to a certain extent also the awareness issue is a barrier.

    So just quickly in summary, I think the points that I was hoping to make and hoping to deliver in this discussion is that as enterprise mobility continues to evolve as a discipline and as organizations continue to invest in mobile and wireless solutions for their frontline workers, for their overall business-critical and mission-critical applications, location is increasingly scaling as an important capability and one that is directly enhancing and supporting many of the field mobile solutions today. However, you know, as I said before, the articulation of the value proposition, more seamless integration of location services within existing enterprise systems—and this is an issue also for enterprise mobility in general, is that integration with backend systems—is something I would say that certainly has fallen behind. So there’s a bit of an awareness issue that needs to be addressed. And then also from a technology standpoint, from a mobile solutions standpoint, we’re certainly seeing some very interesting dynamics in terms of—and I know that Cary’s going to talk about this more in depth in a couple of minutes—but we’re seeing some very interesting dynamics whereby the demands, I guess, if you will, of consumer, or the expectations that have been introduced of consumer technologies are being interpreted into mobile solutions designed for field-based applications where you’re delivering a much more ergonomic and a lighter-weight solution with a more immersive U/I, but still addressing the unique enterprise requirements in terms of environmental conditions, in terms of providing a higher or a more sensitive GPS functionality as opposed to sort of the standard consumer functionality that is available in everyday smartphones today.

    So being able to balance that to deliver sort of an optimized enterprise design or enterprise mobile design solution is certainly something that is starting to happen. And really for developers out there, presents a very interesting opportunity, as we’re looking at the demand for the integration of location content, the integration of location intelligence, to drive even greater returns on some of their investments. And so one additional issue or opportunity, rather, as a parting thought before I hand this back over to Alan, is location for the most part today for organizations has been largely an outdoor phenomenon, if you will. And through the advent of GPS—or in other parts of the world, in Russia, GLONASS, their developments that they’ve enabled—but what we’re starting to also see now in certain industries is the opportunity for, demand for, the interest in indoor positioning systems and indoor location solutions, so that also is starting to open up some very interesting value propositions. If you think, for example, of first responders going into buildings and needing schematics and needing to understand sort of real-time locations; if you think of a healthcare facility in terms of locating assets within that facility; in terms of, you know, a warehouse and distribution center, understanding where different workers are in a particular process. So that opportunity is also very interesting and is starting to become certainly more front-and-center.

    So with that, I’d like to thank everyone again for attending and I’m going to hand this back over to Alan.

    AC: Thank you, David. We’ve taken a look through David’s eyes at the landscape before us, at the horizon, the marketplace, the developments, and now we’re going to step back a little bit upstream to the product design bench and see how industry is moving to meet the demands and anticipate the demands of users and the marketplace. Cary Kiest is a R&D engineering director with Trimble’s mobile computing solutions division. This division of Trimble has recently released an exciting new product for this market and Cary’s going to tell us about some of the challenges and considerations that go into fielding such an innovative product. Cary? Over to you.

    Cary Kiest (Trimble): Thank you, Alan, and thank you, everybody, for joining in today. I’m pleased to be here and hopefully we can have a good session. I’m going to go ahead and talk a little bit about the kind of products that we do in the business unit of Trimble I’m involved in. If you have experience with Trimble, you’ll know that for over thirty years, Trimble has been one of the pioneers early on and continue to be a leader of positioning-based solutions, many of them leveraging very heavily GPS technology. And not just GPS technology, but GPS technology integrated with other types of sensing and computing to enable a whole variety of industries that do their work primarily outdoors and in rugged environments, potentially. So things like construction, agriculture, forestry, oil and gas, things like that where you’re outdoors, equipment is expensive, investments are big, and productivity of the individual workers becomes critical and so does their safety.

    Kiest_1

    What our division does here then is we make mobile computing—in general, we call mobile computing devices, but you can think of it as sort of the handheld computers. Tablets, of course, fall into that; things that, handheld computers that are starting to look more and more like smartphones fall into that; but other form factors of handheld that have maybe a bigger keypad for users who are wearing gloves and things like that all fall into the product lines we develop here.

    I’m going to talk a little bit about some of the design challenges we face when we’re designing our products, and as David mentioned earlier, one of the primary things that has been driving us more recently is the user expectations that have been influenced by the rapid adoption over the last few years of consumer-based smartphones and tablets. This has been both good and bad for us. On the good—well, I should say challenging, not necessarily bad—but on the good side, because there’s been so much proliferation of, say, smartphones in particular that were position-enabled with GPS, it has opened the door to literally millions of developers who have written very creative applications and have combined positioning technology with other sorts of software, mixing with other sensing devices, coming up with creative solutions that really have flourished and provided a whole bunch of good ideas that I don’t think would have come out of just the enterprise space if it hadn’t been for just opening the door to so many people to start developing against these sorts of hardware platforms.

    So that’s been very good; it has influenced in a way where we’ve been able to leverage some of the good ideas, and also we don’t have to do as much work to train our customers because they already have quite a bit of experience now with mobile devices that they’re already comfortable using and so that makes our lives easier. Where it makes our lives a little more challenging is that users have come to expect that they can get a mobile GPS-enabled device that’s very slim, that’s very lightweight, and that’s very inexpensive.

    Kiest_2

    That’s absolutely true when you’re dealing with things like smartphones and tablets. However, the accuracy on those devices today is limited usually to around ten meters under many conditions, and what I mean by that is when you go outdoors, a whole bunch of environmental conditions are going to affect the accuracy of your GPS. For example, even whether the sky is sunny or cloudy will have an influence. Clouds are made of water, water absorbs the radio frequencies that come from the GPS satellite, and so when it’s overcast the signal levels drop. And because the GPS satellite constellation is already a very weak set of signals by the time they reach the surface of the earth, any reduction in that signal level will affect the accuracy. And so when you go out on a cloudy day, you’re going to have less accuracy; when you’re under, say, a canopy of trees, if you’re working in forestry, there’s a lot of water in those leaves and fir needles and whatnot—they will also absorb the radio frequencies. If you’re near tall buildings or other structures, on a construction site where there’s metal girders going up, or freight trains or ships or any large metal objects, those are going to reflect and send other reflective GPS signals to your device, and that’s what’s called multipath, and it ends up decreasing the accuracy of what you can read.

    And so there are a whole variety of outdoor conditions that are going to start reducing the accuracy that you might otherwise get when you’re in open sky. And it’s when you get into those sorts of environments, which are very common for outdoor mobile workers, that’s where the expectation that you can get the accuracy on a really slim device is most challenging. And so we have been influenced by that, absolutely, and are designing against that.

    There are some things that we can do, though. We want to try and improve our GPS accuracy and keep things slim as much as we can, but the things that most influence the ability to do that is your antenna, and primarily it’s the size of the antenna. To keep a device slim is definitely a motivation, but there is no way around the physics that having a larger antenna that can receive more signals from the satellites is your best strategy for improving GPS reception. Another major factor is the orientation of the antenna. Most antennas that receive GPS signals, the ones that work the best have sort of a flat shape to them, and the flat side of that, to get your best signal reception, needs to be pointing generally straight up.

    Now if you can imagine having a smartphone or a tablet that’s a very thin device, usually the flattest surface of that device is pointed at your face so you can see it, and unless you’re looking straight down or straight up at the device, it’s not going to have that flat surface pointing up to where the satellite constellation is positioned. And so that ends up becoming a challenge, too. What you’ve probably seen if you’ve used industrial GPS devices in the past are, you know, larger antennas that are disk-shaped that you want to mount in a way that the disk is pointing straight up. And that’s for a very good reason, and it is so you can see as many satellites as possible with the most signal that you can get from those.

    Kiest_3

    The next thing you want to try and do is block or cancel the multipath signals that I talked about earlier. Specifically, multipath, again, are the signals that don’t come directly from the satellites, but that are reflecting off of other objects in your surrounding area, be it the sides of buildings or metal structures, or even the ground in some cases, which can come back up and interfere with the native GPS signals that are coming straight at you. And so you can block those by adding shields or ground plains—usually directly below your GPS antenna is where you want to do that.

    However, again, if you can imagine the example I mentioned earlier, where the GPS antenna wants to be sort of a flat structure pointing up, you’re going to want that shield to be oriented about the same way as the GPS antenna—flat and pointing up—and in fact you want that shield to be even a little larger than the antenna. So there’s another challenge that we face when trying to give a better antenna solution against the expectations of consumer electronics.

    One of the last areas is advanced data processing. Aside from getting, you know, optimal signals and blocking multipath and things like that, there’s quite a bit of work you can do once you do get the signals from the GPS satellites in to try and really selectively choose the best signals and filter out or ignore what you think might be multipath, what you think might be noise, and that research is going on continually, and quite a bit of that has actually worked its way into consumer devices, so that they can improve their accuracy with very small antennas, with very lightweight components. So that’s always an area that we’re working on as well. An additional challenge with that, however, though, is the amount of battery power you consume, especially when you’re in a mobile device. You only have so much charge in your battery and you’re trying to make that last as long as possible, you need to be careful how much computing power you spend on what seems like a background task of just receiving GPS signals and recording their position. If you spend too much power doing a lot of number crunching on that, you’ll drain your battery faster.

    And so what we’ve tried to do is somehow take those challenges that the consumer expectations have put on our market, and design solutions that optimally put us in a good solution to balance the two halves of this: the challenges versus the expectations. And the product that we’ve just announced now is, or actually yesterday it just came out, is an improved GPS accuracy version of our Juno T41 product. The picture you see on the slide right now is a user holding that, and if you look, what you’ll see is a device that looks like a smartphone, but it has sort of an extended black cap or snout coming out the top of it. And what you see there is, that black snout is where the GPS antenna and ground plain are installed. It doesn’t really show up in the photos so well, but that snout is at a slight bit of an angle tipped forward, and the idea there is that we’ve studied the angle at which users are most likely to hold the device, okay, and figured out, well, it’s probably not going to point straight up at the sky, so can we find a nice compromise where we can point the antennas straight up towards the satellites that doesn’t make the device too awkward?

    So again, it’s a balancing act between keeping the device slim, keeping it light, but also positioning the antenna such that it has a good view of the satellites overhead. So that’s the form factor we’ve come up with, and that’s one solution you can do. This next slide that you’ll be seeing here in a second is another view of the same device, and so one of the things that we’ve done, of course, is just put in a larger antenna and position it correctly, and so what that does is that gives us that antenna gain, that gives us the ability to pull in more satellites and have stronger signals from each of those satellites. Having stronger signals allows us then to effectively gain accuracy in the more challenging conditions—not just an open sky on a sunny day, but under clouds, under tree cover, in multipath environments, you know, in an urban area where there’s big equipment, things like that. That’s where you really start to see the accuracy difference pay off when you go to a more advanced GPS system like this. You often see, for example, in a consumer device that can get you within seven, eight, nine meters of position accuracy pretty repeatably out in an open area under sunny sky, you walk near a building and that will immediately jump out to like twenty or thirty meters.

    For mobile workers, that’s almost no information at all, if you’re trying to, for example, figure out which power meter you’re looking at, or if you’re trying to understand which other physical asset you’re close to when there might be several of those assets in an array along the side of the building. So those are the sorts of applications where that accuracy really starts to help. And we’re adding the antenna gain, blocking or cancelling the multipath with shielding, and then optimizing the signal strength from the entire satellite constellation becomes an issue. I should also mention that when you do get up close to a building, you’re not going to see the GPS satellites through that building most likely, and so the satellites that are viewable overhead, the number of them gets cut roughly in half, and so it becomes very important to have as much signal as you can still get from the satellites that are still in view. You will have some degradation of your position accuracy when you get up close to a building; the goal with a product like what we’ve done is to try and minimize that degradation and still give you as much position accuracy as we can under those situations.

    One of the next challenges is, of course, maintaining light weight, and because users have become used to putting the device in their pocket or if they’re carrying it around all day, just the weight of the device will cause fatigue after a while. That becomes a challenge for us when we have to put larger antennas and ground plains in. It’s also a challenge for us when we have to put enough battery power in to have the device last all day. One of the design challenges for making mobile computers is you’re putting it in the hands of someone who could very well be putting in a full eight- or ten- or even twelve-hour shift, where they’re not just looking at the device once every, you know, few minutes to see if they’ve gotten a new text message—they’re using it the whole time, which means that the cellular radial may be sending data back and forth all the time, they’ve got the display backlight on all the time, they may be connected to another device via Bluetooth all the time, they may be using GPS all the time. And so the usage is usually a lot more demanding than a consumer device. And really the only strategies you have to hedge against that are to put in more battery power and then spend a lot more time in your software development to be as efficient with that power as you can—only keeping things on when you absolutely need them and turning them off when you don’t.

    And then the other thing that’s going to add to weight is just ruggedizing the device. We build our devices to not just function outdoors and have good GPS accuracy, but also to be rugged, so if I drop it, for example, I can’t have it break. I’m out there—usually the data I’m collecting is worth more than the device itself, and so I’ve got to protect that data, I’ve got to be able to continue my day on the job site. If I’ve driven several miles and I’m four hours into my job and I drop the device or something happens to it, it drops into a puddle of water, I can’t have that end my work day. I’ve got to be able to pick the thing up and dry it off, dust it off, and continue working. Or I’ve just cost my company certainly the wages that I would’ve expected to earn that day, but also it may be that that data is necessary on that day because you have large equipment scheduled to come in the following day that you had to schedule days in advance and it’s costing thousands of dollars. So the economics of it all become very important, and so having these devices be rugged and reliable is a big motivating factor for us. The way to do that most often is to add mass to it: you put more bumpers on it, you have stiffer frames, you have more plastic, all of that adds weight so the device ends up being heavier. And then the heavier the device is, the stronger you have to make it, and you sort of get into a spiral there, where to make it stronger you add more weight, but you’ve added more weight so it has to be stronger, and so make it stronger you have to add a little more weight, and then so on and so forth, until finally you have a device that’s rugged enough to meet the challenges that it’s going to face. So we spend a lot of time trying to do all of these things: put the right antennas in, put the right ground plains in, work on the power consumption, have enough battery in there, and make the device rugged. These are all major portions of what goes on in our minds when we design these products.

    Okay, the next challenge has been to try and make the device inexpensive, and part of the issue we have there is that we are using higher performance components than they usually put in consumer-grade devices. Those components cost more because they’re higher performance. Another challenge we have is we don’t typically have the buying leverage that, say, one of the large smartphone manufacturers are going to have. If they’re planning to build several million devices in six months, they’re going to have a lot more buying power to get their components than people who are in a more niche environment like ourselves who are looking at buying, say, tens of thousands. So we don’t have the buying power; we’re going to have to end up paying more for our components that way.

    The other thing that we have is we usually sell our products direct to an end user who, or integrator, value-added reseller, who are going to bundle it with software and other services that then go to the, out to the field. And once they go out to the field, it’s the user’s choice as to which carrier they want to add to it, so they’ll buy a separate data plan. When you go buy a smartphone, you may very easily think, well, this thing only cost ninety-nine or a hundred dollars—well, that’s not really true. It actually cost several hundred dollars, but they’ve buried a lot of that cost into a service plan that’s going to last, say, two years. So we don’t have the ability to hide our costs in service plans like that. And that just influences user expectations about what a device like this should cost. So, you know, like all businesses, we have pressures to keep the costs low, and these are some of the ones that we struggle with the most to try and overcome.

    So, having said all that, what does a company like us, or a group like ours, have to do to put all this together and get it right? Well, first of all, you have to have a very deep knowledge of GPS systems and their use cases. There’s a lot more to GPS technology than just receiving the satellites, crunching the numbers, and reporting a position. There’s all sorts of augmentations and correction services that can be added to help improve your accuracy in situations where you may not have a clear view of the sky or good signals. You have to know the use cases really very well, and I talked a little bit about this before when I mentioned the differences between, say, using your device in an open sky environment or near large objects that are going to cause multipath or under tree cover or all of the above—how important is that?

    Well, knowing your customer, knowing the workflows, knowing the kinds of situations they’re going to be in—are they going to be standing still, are they going to be on the move, how long do they want to spend at any one point if they’re moving around—all of those sorts of things and being very good at understanding what’s going on with your customers is something you have to have. So we’ve made that our business for many many years now, and we have all that. Extensive design modeling and testing: it’s not easy to design these devices. You can get away with just buying an antenna, buying a GPS module, putting it in something, turning it on, and seeing how it works, but you’re not going to wring all of the performance out of it and avoid all the problems unless you have pretty sophisticated tools to do all this. So you have to make an investment, and of course we’ve done that; again, you know, Trimble has been pioneering GPS for over thirty years now, so we have a lot of real powerful design assets throughout the corporation that we tap into. You have to select and integrate the right components. This is really important: you have to know where the problems are and where some of the component providers may have a weak spot in their product line-up, and they’re not going to advertise those.

    So through experience and through a lot of testing and proof of principle work, you’ll learn that over time. And so we do spend a lot of our research budgets doing all that, working with the suppliers of the components we use to get the best out of what they have available. And then the next one is optimally balancing all the trade-offs presented earlier. I’ve tried to paint a picture here to describe a lot of the challenges, and there are many, and at the end of the day what you end up doing is deciding how to make compromises, like all real good engineering problems. Do I spend more and get maybe a few more inches accuracy, or do I spend a little less—you know, where do we set the knobs on that? And so there, again, understanding how the systems work and what your customers really need and then choosing where to settle those knobs and balance the trade-offs is an important part of getting the right product out there.

    That’s really going to help people and hit the market in an area it wants. And then staying on the leading edge of GPS technology improvements. You know, we’re not done. There are neat new things coming out, on the horizon, on our roadmaps, that we need to be aware of or we stand the terrible chance of falling behind in a game that we were one of the early leaders in and remain a leading player even today. And so keeping our eyes out on what other people are doing, pressing forward with our own research in these areas, and being innovative is a key part to staying in this business and providing value.

    And with that, I think I’m done with my presentation, so I will hand it back to Alan now. And I’ll want to thank you all again for your time and listening in today.

    AC: Thanks very much, Cary. We have a few minutes left and we have some questions from the audience. I’m going to jump right into the first one. One of our listeners wants to know—and I’ve modified his question a little bit: going further into the future than what you have talked about so far, what advances in mobile location technology can we anticipate a) in the current financial year, b) in the next two or three years? I think this listener is trying to gauge the market, gauge the advent, the rate of advent of technology, and determine the sweet spot for a purchase. Do it now, or wait for a little bit more capability and do it later? And of course when you’re talking about an enterprise equipping a whole crew or a vast number of workers, that can be a significant investment and an important question to know when to time your purchase. I’d like to open that to either of you gentlemen: what advances beyond what’s currently envisioned, both in technology and applications, can we expect in the next year, and then in the next two to three years?

    CK: I can go ahead and take this one—this is Cary Kiest again. Speaking from my own perspective here at Trimble and then also from the perspective of keeping an eye on what we see, what I think you’re going to see in the near term here are slight improvements to products that are already out there and a little bit more product differentiation. For example, the product I talked about earlier that we just announced sort of splits the difference between the very accurate GPS devices that get down into the centimeter range and the ones that are more into, like, the five- to ten-meter range. We’ve got one that’s in the one- to two-meter range, and so that’s really more of a packaging thing where we’re trying to give something that is in sort of a middle ground between two areas that previously existed. You will see from us later this year something similar in a tablet space. And so that’s an area where it’s either market differentiation or a slight improvement to what’s already out there.

    As we look a little further down the road, what you’ll see is improvements in cost and the performance you get for the cost. You’ll also, I think, see—and this is something David talked about a little bit earlier—there’s a lot of interest industry-wide in indoor positioning, and specifically what that refers to is how do I know where I’m at when I don’t really have good access to GPS signals? And so there’s a lot of research and some early products coming out that will allow you to know where you are as you transition from outdoors where you have GPS to indoors—and it may not just be indoors, it may be on a construction site where now, you know, you’ve started to put up enough steel girders and whatnot and the building is taking shape. How can I know where I’m at on that site where I don’t have good GPS signals, and how can I improve the accuracy? Can I know where I’m at down to within, say, a meter, or even a couple feet or a few inches? So you’re going to see things like that come out; I think you’re also going to see mobile computing be defined into the wearable space also. For enterprise things, you know, you’ve probably been hearing a lot of buzz about Apple’s iWatch that they’re talking about—you’ll see this sort of thing come out in the enterprise space too, but that’s further down the road. It might be a simple thing that workers wear that knows their position and maybe monitors a few conditions as they go into a hazardous location or they’re on a job site where it’s important to know where everyone’s at. And so I think those are sort of the main areas of investment you’ll see come out from our industry over the next three to five years.

    AC: David, anything to add to that?

    DK: Yeah, I mean, I would certainly concur with what Cary said. I think what we’re in right now over the next couple years is a period of refinement. I don’t think certainly in the near term even you’re going to necessarily see technologies coming out that are, you know, significantly different in terms of their capabilities, but we’re going to see a refinement in terms of a better alignment with solutions with particular applications. So fundamentally from the end user, from the individual with this question, it really comes back down to what are they looking to do? What’s the application they’re looking to support? And that will ultimately determine sort of the viability of today’s technology. There isn’t anything—I mean, what we see with a lot of customers, especially because of the fast-paced nature of mobility and the seemingly endless change, is timing the perfect entry point. And one thing that we won’t stop in this industry is innovation and change. So in terms of waiting for that perfect solution, so to speak, I mean, you can spend a lot of time waiting for that because there’s always going to be refinement and improvement to it. So I think a lot of times what we recommend our customers is, yeah, you might not want to take the big bite right now—we understand that, we want prudent investments—but a lot of times when asked what they would do differently, when we ask a lot of investors, is we would have started sooner.

    So I think in terms of the maturity, the accessibility, the availability of technologies that can address most applications, you know, that’s on the market today. So I say—again, not knowing the application, there’s no real reason quote-unquote to wait. But certainly advances around indoor positioning systems, I mean, that’s really where we’re seeing probably, over the next two to three years, probably the greatest change happening. Certainly advances in mobile form factors, and quite frankly, yes, cost of technology, cost of services will come down. And I think also the integration of, you know, some of this content from an application development design perspective will become a little bit more seamless.

    AC: All right, thanks. We’re at the hour straight up, but I’m going to squeeze a last few couple of minutes of value out of this webinar for our listeners by asking one more question, and we’ll treat this fairly quickly if we can. There’s a lot that can be said about it, for sure, and our July article did treat this subject somewhat. One of our listeners wants to know, in your opinion, what is the best development platform for application development? Do you think one should model the app and then write separate code streams for Windows, Android, iOS, and so on, or—the question always boils down to who is going to win the platform battle? And is there room for more than one? Either of you gentlemen care to comment on that?

    CK: I can go ahead and start on that one again. This is Cary Kiest. We—here at our group, most of our customers are writing something a little more advanced than, say, a user app that you might download from the Play Store or something like that. And so we have run into from time to time users who try to use a cross-platform development tool to port their app that they’ve written, say, for iOS over to Android or Windows Imbedded, and they usually run into a problem when they get down a couple layers closer to the hardware. And specifically, when you get into devices like ours or computers like ours where we’ve used more advanced, say, GPS systems that have more parameters and more capabilities, you have to really understand how to integrate with those and tap into those capabilities in a way that a cross-platform development system isn’t probably set up to handle. So we usually recommend people to not try and do that for applications that run on our devices that are very user-specific and pointed at the enterprise. To get the kind of performance you need with the technology out there today, we definitely recommend going and developing in the environment that’s suited for that particular operating system.

    DK: Yeah, I mean, I won’t add much to that, Alan, except there—you know, this is one of these sort of the conflicts of, you know, the consumerization as we’re seeing this multitude of platforms. And certainly when you’re looking at the base numbers, you know, iOS and Android are outpacing any other platform by leaps and bounds. But that tells only part of the story, if you will. We’re certainly seeing the potential for, you know, OS change also on sort of these more enterprise-specific devices and I think there is room for alternative platforms. But fundamentally, getting down to the question, is what’s the appropriate development approach today for these, what I would consider more business-critical, mission-critical, field applications—today still, I would say that for a number of reasons, native development will still trump cross-platform development, even though we’re seeing some interesting advances, and certainly the HTML-5 spec and its ability to address, you know, offline capability and sort of dynamic caching and thinking capabilities or incremental thinking capabilities. So I think the improvements are occurring, but in terms of user experience, in terms of offline support, and to Cary’s point, in terms of true access of device–site capabilities, for these types of applications today, native development is, I would still say, sort of the best approach.

    AC: Thank you, and with that we’ll wind up the content section of our program. Thanks to both you gentlemen, Cary and David, for your insights; thanks to the audience for joining us—the content must have been compelling because I estimate about ninety, above ninety percent of you stayed tuned in for the entire webinar, including running five minutes over. Thanks for your indulgence. Thanks also to our sponsor, Hemisphere GPS.

  • Google Rolls out Maps Engine Pro for Small Businesses

    Google Rolls out Maps Engine Pro for Small Businesses

    Google-Map-O

    Google Maps aren’t just for finding directions for consumers. The company is courting small businesses to grab a greater market share and provide differentiation from its competitors. In a slow news month, it appears Google, the 800-pound gorilla in the location industry, has a strong start in business markets.

    Google’s recent decision to roll out Maps Engine Pro, its software that allows small business to use the company’s location tools to create maps from location databases, is a solid step in the business-to-business market. However, the company also said there will be a mobile application for Maps Engine Pro, called Google Maps Engine, which will allow small businesses and users to edit and create maps while mobile.

    Companies can use the app to optimize personnel and assets, build mapping apps, and create internal and external maps that use data layers to make business decisions. Depending on licensing, Maps Engine Pro costs $5 per user, per month — or $50 per user, per year.

    One reason to roll out the enterprise product: Brian McClendon, vice president of Google Maps, said that there are 1 billion monthly active Google Maps users, making the business product familiar to companies who want to plot location data.

    Magnetic Indoor Positioning? 

    Although much-hyped in the last two years, most indoor positioning has been powered by both GPS and Wi-Fi positioning in most tests and rollouts worldwide. However, a startup called IndoorAtlas, which recently opened an office in Sunnyvale, California, and partnered with Finnish grocery chain Fonella, according to published reports, is using magnetic technology via compass chips in smartphones.

    Rather than using Wi-Fi signals to triangulate a device’s location, IndoorAtlas tracks differences in the Earth’s magnetic field to pinpoint location within a building. The magnetic field is all around most objects and animals. On the company website, this tidbit is found: “Many animals utilize local variations in the Earth’s magnetic field to find their way around. These magnetic variations commonly exist inside buildings as well. Many sources can contribute to these variations including Earth’s magnetic field, and the structures of the building. Modern smartphones can sense and record these magnetic variations to map indoor locations.”

    IndoorAtlas’ technology doesn’t require additional infrastructure like wireless access points, so the technology can be used by retailers. Other markets include search and rescue, museum tours, and a navigation aid for disabled people.

    Location Companies Going After Higher End Markets As Commoditization Settles In      

    As location technology, specifically GPS, becomes more of a commodity as many industry observers say, companies are looking at higher-margin market segments. For instance, Garmin, which has seen the portable navigation device market decrease, has been focusing on more expensive and specialized products.

    While still a big business for Garmin, PNDs’ market share has been eroded by tablets, smartphones — and even expensive installed telematics systems, which have grown with the connected vehicle’s rise.

    Garmin has offered several different types of high-end watches for swimmers, pilots, runners, golfers and others in the outdoor market. The newest entry is a $450 watch called Tactix, which any Navy SEAL could love. It features an altimeter, barometer, and jumpmaster software for airborne operations, and it’s even waterproof to a 50-meter depth.

    LBS Insider to Cover CES in January

    LBS Insider will be on site in Las Vegas to cover the huge Consumer Electronics Show. At CES, the connected vehicle market continues to be showcased. In published reports, Scott Keogh, Audi USA president, said that the company will make announcements about Audi Connect at the show.

    T-Mobile US provides 3G connectivity to Audi’s Connect service in the United States through an embedded SIM in the car’s dash. T-Mobile’s plan, which includes Wi-Fi for as many as eight devices, is offered to new and existing owners of cars equipped with Audi Connect. It costs $450 for data services for 30 months — or users pay $30 per month if they select the month-to-month option. Some of the features includes access weather, real-time news and fuel prices. Both Google Earth and Google Voice are offered.

    At CES, the LBS market has been de-emphasized by wireless carriers in the past three years.  Instead, most location-related panels have been dedicated to connected vehicles.

  • New Ways to Track Mobile Users

    New Ways to Track Mobile Users

    Companies like Drawbridge indentify a user's devices across platforms.
    Companies like Drawbridge indentify a user’s devices across platforms.

    In the location business, we used to talk about tracking — namely, vehicle tracking.  We stopped using the term as it sounded too close to Big Brotherism. Vehicle and employee tracking is much more prevalent today, but we have delicately renamed it “mobile resource management.”

    Tracking is back in the news, and it is rightfully being called what it is, tracking. You may have seen the New York Times article about new ways people are being tracked via their mobile phones and other devices.

    Tracking mobile phone behavior hasn’t been prevalent, because mobile apps don’t use cookies, the small files that can watch our behavior on our desktops and laptops. This has changed. Now Internet advertising companies like Drawbridge are using powerful algorithms to analyze anonymous browsing patterns on devices and look at the dates and times, location and websites visited, and user activities on sites. The companies can determine that a mobile phone, home computer, work computer and tablet belong to the same person.  The devices do not need to be connected for the match to be made. In a household full of people and devices, these companies can even distinguish among users.

    This isn’t in its infancy. One company alone says it has matched 1.5 billion devices this way. The incentive of the industry is to arm advertisers with behavior knowledge to enable hyper-personalized ads on the device that makes the most sense. The ad may be delivered on one device based on a person’s activity on another device. For instance, Greg is looking at a website for basketball shoes at his computer at work. He goes home and gets an ad for those shoes on his tablet, and it maybe a hyper-local ad for a store where he often shops. The ad may come at a time that he is primed to shop, on the device he will likely be using then. Mobile advertisers that are  exploiting this data include Drawbridge, Flurry, Velti and SessionM. Companies that are advertising based on this mobile tracking data include Ford Motor, American Express, Fidelity, Expedia, Quiznos and Groupon.

    As we know, phone data is not the sole interest of commercial companies. It is of interest to the government as well. This month, the National Security Agency (NSA) admitted that it was tracking the location of the U.S. population. Between 2010 and 2011, the NSA used cell towers to locate Americans. The NSA claims that it obtained the data, but didn’t use it.

    What’s next? There is something left that mobile advertisers still haven’t figured out. They have no sure way to know the results of an ad placed on a mobile phone. Has the person viewed the ad and gone to the website on their computer, or walked into a store and placed an order?  It probably won’t be a mystery for long.

  • NextNav and Broadcom Partner for Indoor Accuracy

    NextNav and Broadcom Partner for Indoor Accuracy

    A NextNav beacon.
    A NextNav beacon.

    On October 2, NextNav announced that Broadcom Corporation acquired a commercial license to NextNav’s Metropolitan Beacon System (MBS) technology, a so-called terrestrial constellation that brings GNSS-like performance to indoor and urban environments where satellite-based positioning is either unavailable or significantly degraded.

    The agreement enables Broadcom to integrate NextNav’s location technology into its mass-market GNSS connectivity and mobility platforms, used primarily in cell phones and tablets.

    NextNav President and Founder Ganesh Pattabiraman characterized the deal in a conversation with GPS World:  “This is a commercial license to a Tier 1 chipset provider, whose products are in a vast number of smart and feature phones in the country. The partnership enables our technology in a low-cost, high-volume form factor. This is important for us since we don’t make chips. We rely on partners such as Broadcom.  This is the first of many such agreements; we’ll have more through the year.”

    Most wireless companies have a mobility group addressing cellular modems, the central clearinghouse for so-called connectivity: the combination of Wi-Fi, Bluetooth, GNSS, and other technologies. Standard assisted GNSS (A-GNSS) packages to date in such cases generally consist of  ephemeris from all GNSS satellite constellations supported by the wireless company’s chips, cell ID and Wi-Fi ID from base-station databases, and additional proprietary assistance mechanisms.

    The NextNav MBS concept shares many operating principles with GNSS satellite constellations, but because the NextNav beacons are installed terrestrially instead of in space, they transmit sufficient signal strength for reliable reception indoors and in urban canyons where a clear view of the sky is unavailable. MBS is deployed much like a cellular network, to provide consistent indoor positioning to every building within a covered metropolitan area. MBS offers both accurate horizontal positioning and highly accurate altitude information, a particularly important capability for emergency responders in urban and indoor areas where GNSS systems tend to be most challenged.

    NextNav built its MBS network across forty large U.S. markets (see list at end of story) with its own Federal Communications Commission (FCC) licensed spectrum. “We bring more a managed network providing consistency and reliability of position information,” continued Pattabiraman. “Also the vertical component that other systems do not provide.” He characterized Wi-Fi, for example, as “an unmanaged network,” subject to frequent changes without a centralized and continually updated source of certified data.

    NextNav location performance was recently highlighted in side-by-side technology tests conducted by the Communications Security, Reliability, and Interoperability Council (CSRIC) of the FCC, and published in March of this year; see reportage and analysis of these tests at The Inner Edge: Who Holds the Key to Indoor Nav?

    The trial compared the performance of location systems across urban, suburban, and rural areas in the San Francisco Bay Area for determining the location of callers during emergency calls (E911), a critical case for mobile-phone users. NextNav was the only technology capable of reporting a valid height or altitude estimate, enabling floor-level positioning. NextNav’s horizontal accuracy results also reduced first-responder “search rings” by 90 percent over its nearest competitor.

    Don Fuchs, director of business development at Broadcom, added “Nextnav is a metropolitan area location system, which is typically a wider area than that covered by Wi-Fi. Wireless emergency assistance calling (E911) needs a wider venue covered. And across 40 metro areas. Nextnav is wide area, while Wi-Fi is essentially local area.”

    Pattabiraman said that in a typical metro area, NextNav’s terrestrial constellation of beacons is deployed for maximum coverage and minimum GDOP, and is not constrained by capacity like a cellular network. He stated that the San Francisco Bay area covered by NextNav extends to 900 square miles, from South San Jose into Marin County and East Bay. “With a fraction of the beacons required for cellular coverage in the same area, which would be in the neighborhood of a few thousand antenna installations, our deploy and operating costs are much less. Less than 20 percent of that for a cellular network.”

    In comparison with Locata, another recently rolled out terrestrial constellation designed to fill GNSS gaps, Pattabiraman said,Locata and NextNav are two entirely different systems serving different needs.  We are in the mass-market commercial cell phone wide area use case, filing that gap, providing 5–10 meter accuracy, with vertical as a critical component, and full market coverage. Locata covers centimeter-level precision application in localized environments. The two companies could both eventually get to the other side [of the market-sector spectrum], but currently each of us is focused on the particular requirements of our designated market areas. Also, we operate with licensed spectrum versus the Locata operation in 2.4 GHz unlicensed.”

    “At the highest level, they are both multi-lateration systems.  Time of arrival, time difference of arrival.  We arrive at our core synchronization via GPS, which has its own synchronization, but we’ve got our IP  on top of that to improve it.  Each beacon is autonomous.  You can drop it anywhere with a clear view of the sky, and it is synchronized to the rest of the network, it has its own self-synchronizing mechanisms.  Locata is a synchronized network.

    “Another way of looking at it, they have a replacement for GPS. We do more complementing for GPS, we count on GPS being there.”

    Broadcom’s Fuchs added, “From the perspective of a company designing GPS and GNSS client-side semiconductors, we view NextNav as a terrestrial constellation, no more difficult or challenging than adding support for any new or legacy constellation like BeiDou or GLONASS.  We see this integration as being very straightforward, we have lots of IP in the area of signal processing, these sort of signals, this sort of positioning algorithm. We add NextNav as a secondary technology for challenging urban conditions. We view this as a piece of location technology to develop and integrate as the market demands.

    “In six years at Broadcom and seven before that at Global Locate (acquired by Broadcom in 2007), we have a history of turning support like this, we’ve been able to do this very quickly.  Depending on market demand, in less than a year.  I can’t lay out a roadmap at this point.  We expect to see market demand for this, certainly expect regulatory demand.  We wanted to get to the point where we can react to that in less than a year. That was the motivation to get this agreement into place, and we are now positioned.”

    “We all operate under standard operating environments as specified by the FCC. We’re metro-wide just like paging towers or broadcast TV,” continued Pattabiraman. “We’re not necessarily doing anything different as regards the indoor environment.  We’re not adding anything additional to the noise spectrum or floors. Our maximum transmission is 30 watts, very small compared to cell transmission in kilowatts. It is bits per second by the time it hits the receiver.  Because it’s calibration for navigation, the network design is optimized for location. We take into account GDOP and coverage, maximizing the latter, minimize the former. There is a very low throughput. It’s a tradeoff between power and coding.  We code the heck out of this thing.  We just new a few bits to get our information through, not like cellular that needs to get megabits through.”

    As to any data or issues about the human health impacts of an RF-rich indoor environment, Pattabiraman concluded, “There’s none of this concern about power into your head. We transmit only at the tower, receive only at the user. It is very, very heavily coded, like GPS, and very low-powered.  It’s not even close [to cell transmission power].  We’re a feather, they’re a hammer.”

    List of NextNav Covered Metro Areas

    NextNav characterizes San Francisco as built to “commercial grade” and the other markets as “Initial Builds.”

    • Boston-Worcester-Lawrence, ME
    • Syracuse, NY-PA
    • New York-North New Jersey, NY-NJ
    • Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD
    • Washington-Baltimore, DC-MD
    • Greensboro-Winston-Salem-High Point, NC-VA
    • Raleigh-Durham-Chapel Hill, NC
    • Jacksonville, FL-GA
    • Charlotte-Gastonia-Rock Hill, SC
    • Orlando, FL
    • Miami-Fort Lauderdale, FL
    • Tampa-St. Petersburg-Clearwater, FL
    • Atlanta, GA-AL-NC
    • Cincinnati-Hamilton, OH-KY-IN
    • Columbus, OH
    • Pittsburgh, PA-WV
    • Cleveland-Akron, OH-PA
    • Detroit-Ann Arbor-Flint, MI
    • Grand Rapids-Muskegon-Holland, MI
    • Milwaukee-Racine, WI
    • Chicago-Gary-Kenosha, IL-IN-WI
    • Indianapolis, IN-IL
    • Nashville, TN-KY
    • Memphis, TN-AR-MS-KY
    • New Orleans, LA-MS
    • St. Louis, MO-IL
    • Kansas City, MO-KS
    • Oklahoma City, OK
    • Dallas-Fort Worth, TX-AR-OK
    • Houston-Galveston-Brazoria, TX
    • San Antonio, TX
    • Denver-Boulder-Greeley, CO-KS-NE
    • Salt Lake City-Ogden, UT-ID
    • Las Vegas, NV-AZ-UT
    • Phoenix-Mesa, AZ-NM
    • Los Angeles-Riverside-Orange County, CA-AZ
    • San Diego, CA
    • San Francisco-Oakland-San Jose, CA
    • Portland-Salem, OR-WA
    • Seattle-Tacoma-Bremerton, WA

     

  • Rakon Launches Low Voltage Miniature TCXO

    Rakon Launches Low Voltage Miniature TCXO

    Photo: Rakon
    Photo: Rakon

    Rakon has launched the RIT2016C model TCXO for GPS applications. The RIT2016C minimizes power consumption in portable devices to extend the battery life while still delivering performance.

    Operating at a 1.2V supply voltage, the RIT2016C reduces power consumption even further with the additional benefit of the enable-disable mode to deliver better power management, the company said.

    The RIT2016C is available in the small form factor 2.0 x 1.6 millimeters.

    Current available frequencies are 19.2MHz, 26.0MHz and 38.4 MHz; other frequencies are available upon request.

    The RIT2016C also has the following features:

    • Frequency ranges available from 19 to 40 MHz.
    • Frequency versus temperature stability as tight as ±0.5 ppm over -40 to 85°C.
    • Low start-up drift rate.
    • Excellent phase noise performance.
    • Low aging: Long term stability better than ±1ppm/year.
    • Low profile: Height less than 0.8mm.

    The high performance of the RIT2016C establishes it as the perfect solution for applications with stringent battery life requirements. It is suitable for smart meters, personal navigation devices, smartphones, tablets, and fitness watches.

  • Symmetricom Expands SyncWorld Program to Power Utilities

    Symmetricom Expands SyncWorld Program to Power Utilities

    SyncWorld will enable power utilities to react in real time to outages and alert users to contingency plans.
    SyncWorld will enable power utilities to react in real time to outages and alert users to contingency plans.

    Symmetricom has introduced a new category to its SyncWorld Ecosystem Program dedicated to the power utility industry. Developed to support integration and interoperability among power utility and Symmetricom solutions, the SyncWorld Power Ecosystem aims to facilitate unified deployments of timing and synchronization in substation modernization and synchrophasor applications.

    As power utilities shift to the Smart Grid, they gain the ability to monitor in real time, allowing for proactive operations control. Advanced synchronization and timing enable power equipment to operate more efficiently and closer to its operational limits.

    For example, one microsecond accuracy is required by the phasor measurement unit (PMU) for real-time network situational awareness and overall operational efficiency. Without accurate time stamps, PMU data has limited value. For power utility companies, that translates into enhanced network utilization rates as well as smarter management and mixing of renewable and traditional power sources.

    Symmetricom also introduced the SyncServer SGC-1500 Smart Grid Clock to provide power utility companies accurate, secure and reliable timing.

    The introduction of the SyncWorld power segment is expected to drive collaboration and innovation among the industry’s leading power utility vendors. To participate in the program, vendors work with Symmetricom to develop a joint solution, complete successful solution testing, and commit to ongoing technical and business activities to ensure joint success.

    Interoperability is a key requirement to join the program. Using various test cases with a defined standard for testing, Symmetricom focuses its assessment on the performance of a product’s IEEE 1588 power profile. During testing, Symmetricom clocks act as the master clocks, switches act as transparent clocks, and IED/PMU products act as slave clocks.

    Watch a video about the program here.

  • Antenna Module for Embedded LBS Receivers

    Photo: Parsec PTA
    Photo: Parsec PTA

    The Parsec PTA and PT active and passive antenna modules integrate seamlessly with the Telit Jupiter SE880 GPS receiver for market leading location aware applications in performance and miniaturization.

    The PTA/PT family delivers best-in-class linearity in the third-order-intercept point (IP3), the measure of a receiver’s critical ability to differentiate signal from noise. All PTA and PT antenna modules are based on Parsec’s family of low noise amplifier (LNA) integrated circuits (ICs).

    The antennas are designed for embedded LBS receivers requiring good user experience that operate with obstructed view of orbiting satellites. The PTA1.5M improves GNSS receiver sensitivity to offset high path loss, improves immunity to receiver descending caused by close proximity radio transceivers, and mitigate the effects of interference from radio mixing products.

    To learn more, visit the Parsec website.

  • ORBCOMM, Savi Announce Strategic LBS Partnership

    ORBCOMM Inc., and Savi Technology have announced a strategic relationship to provide advanced location-based monitoring solutions to government and commercial markets.

    ORBCOMM is a global provider of machine-to-machine (M2M) solutions, and Savi Technology is a provider of sensor-based analytics and radio-frequency identification (RFID) solutions.

    ORBCOMM and Savi have submitted a proposal in response to the U.S. Army RFID IV project, which will provide both ISO18000-7 RFID tags and a suite of satellite solutions for military logistics support. ORBCOMM’s GlobalTrak division has been a leading player in providing military Enhanced-In-Transit-Visibility (EITV) solutions to the government market since 2008, and Savi has been a market leader in military RFID solutions, enabling it to offer vast market experience with the right blend of technology platforms for this proposal.

    “The combination of ORBCOMM’s satellite expertise and broad network service portfolio with Savi’s state-of-the-art RFID technology offers a full spectrum of innovative monitoring solutions to our collective market base with focus on our government and international customers,” said Marc Eisenberg, Chief Executive Officer of ORBCOMM. “Although RFID and satellite tracking have traditionally been divergent technologies, the synergy of these solutions within a common operating environment creates a seamless transition from infrastructure to wireless-based location services for tracking and monitoring high-value assets.”

    “By bringing two market leaders with highly complementary technologies together, we have created a best-of-breed solution for our customers in both government and commercial markets,” said Bill Clark, chief executive officer of Savi Technology. “This relationship will support Savi’s operational analytics capabilities by providing additional ways to collect critical data and deliver timely and reliable operational intelligence to our customers. We look forward to partnering with ORBCOMM on RFID IV and other global opportunities in the near future.”