QY Research has released its Global GNSS Chips Market Research Report 2017, a comprehensive study on the global GNSS chip market. The report is segmented based on applications, end-users, technology and geography.
The report covers key players, current trends and influences on the global market. Investment return analysis, SWOT analysis and feasibility studies were used to analyze the key global market players’ growth in the industry.
Highlights of the report include:
A complete backdrop analysis, including an assessment of the parent market.
Important changes in market dynamics.
Market segmentation.
Historical, current and projected market size, including value and volume.
Reporting and evaluation of recent industry developments.
Detection of artillery blasts at a near distance (0.15 miles or 0.24 km) using a single infrasound sensor, with the sensor amplitude trace over time shown on Infiltec’s Amaseis software data and visualization package, and using some basic bandpass filtering (5 to 25 Hz). The spikes are clearly visible as high amplitude impulses in the traces, confirming sensor detection.
Infrasound refers to sound frequencies below the threshold of human hearing, around 20 Hz or less. There are a variety of natural sources of infrasonic emissions, including thunderstorms, avalanches, meteors, earthquakes, volcanos, and windstorms as well as manmade sources of emissions, such as aircraft, heavy machinery, artillery, missile testing and road traffic. Infrasound is especially attractive from a sensing perspective due to its ability to propagate long distances while suffering little from atmospheric or environmental attenuation.
Blasts detected at 5.22 miles (or 8.4 km) are still detectable, but additional signal processing or wind-filtering techniques may make these impulsive signals more prominent above the noise.
In this work, we describe the development of a man-portable “tactical” infrasound field sensor array that is small, lightweight and can be rapidly set-up and torn-down as needed. The system is able to provide direction-finding capabilities to infrasound impulse sources with a directional accuracy of +/–3 degrees. Such information could be used for alternative positioning schemes, described in detail, or perhaps for direction-finding (homing) to acoustic sources of interest. Possible users could be military or search-and-rescue teams operating in GPS-denied environments; field researchers studying volcanology or seismology; or other geo-acoustic scientists and engineers.
This year, the Munich Satellite Navigation Summit features an interactive session on the topic “Industry Meets Research: Innovation Drivers and Barriers in SMEs.” Fabio Dovis from Politecnico di Torino will chair the session, and GPS World magazine Publisher and Editor-in-Chief Alan Cameron will moderate the discussion.
“Small and medium-sized enterprises (SMEs) and their innovative ideas are an important factor of economic growth,” states the conference program. “Therefore it is important to improve the environment in which innovative business ideas can be created. A main factor is the promotion and facilitation of technology transfer, thus the access to scientific results. In order to enable a dynamic and creative GNSS product, service and application development, a stronger and more structured link between the most promising results of GNSS research and companies should be fostered.”
Enter the Fishbowl
This session will be organized according to the so-called fishbowl method that will involve GNSS experts from universities, research centers and industry in an interactive discussion. Everybody is welcome to join the fishbowl and to be part of the GNSS Knowledge Triangle to strengthen the knowledge transfer and the future success of GNSS.
According to the fishbowl method, five chairs will be arranged in circles and one chair is always unoccupied. Any member of the audience can, at any time, occupy the empty chair and join the fishbowl. When this happens, an existing member of the fishbowl must voluntarily leave the fishbowl and free a chair. The discussion continues with participants frequently entering and leaving the fishbowl.
NovAtel Inc. has placed a research contract to determine how GNSS technology can deliver a positioning solution that meets both the safety and accuracy requirements of unmanned automotive vehicles.
The research will include study concepts for high-precision, high-integrity carrier phase algorithms as well as threat models and safety monitors with the purpose of improving the safety of autonomous land transportation.
By Daniele Borio, Ciro Gioia, Gianmarco Baldini and Joaquim Fortuny, European Commission, Joint Research Centre (JRC), Directorate E: Space, Security & Migration. Presented at ION GNSS+, September 2016.
GNSS data faking is similar to node forgery in a wireless network: A simulator or another device can be used to impersonate an actual GNSS receiver in a system which uses GNSS services. In this way, misleading Position, Velocity and Time (PVT) information can be send to the final PVT user in the system. To mitigate the risk of GNSS data faking, GNSS receiver fingerprinting can be adopted in security-enhanced applications to verify, at least to a certain extent, the authenticity of GNSS data.
For example, the injection of GNSS fake data in an Intelligent Transport Systems (ITS) vehicle platform could be identified using GNSS receiver fingerprinting.
This paper investigates the potential of receiver clock bias and drift as sources of features for fingerprinting. In particular, several features, including Allan Deviation (ADEV), maximum and Root Mean Square (RMS) Time Interval Error (TIE) and correlation of the clock time series, have been investigated. The potential of the different features has been empirically investigated. It shows that three features are sufficient to discriminate the different receiver types. In particular, the ADEV and the Maximum TIE (MTIE) at 1 second, and the correlation value at 20 seconds have been selected for fingerprinting. These features allow one to effectively cluster the different receiver types and to build a “white list” for receiver identification.
4- and 7-channel research and evaluation platforms
The NT1065_USB3 and Multi_GNSS_Grabber_Board are research and evaluation platforms for professional navigation receivers, based on NTLab’s RF front-end integrated circuits: the NT1065 “Nomada” (4-channel GPS/GLONASS/Galileo/BeiDou/IRNSS/QZSS, L1/L2/L3/L5 band) and NT2024 (3-channel GPS/GLONASS L1/L2 and S-band).
Both boards support USB3 connection, thus allowing the user to process captured satellite signals on a PC.
NT1065_USB3
Multi-band multi-system 4-channel coherent GNSS RF front-end based on NT1065 “Nomada” IC.
Features
4 coherent GNSS channels
IF bandwidth up to 32MHz for each channel
Acquisition of wideband signals up to 64 MHz (such as Galileo E5) with 2 coherent channels
Built-in 2-bit ADC
USB3 interface (up to 800 Mbit/s)
Ability to connect 4x CRPA
Multi_GNSS_Grabber_Board
All-band, all-system 7-channel GNSS software-defined receiver platform based on RFFE ICs: NT1065 “Nomada” and NT2024.
Features
All NT1065_USB3 features, plus:
Two additional L1/L2 GNSS channels
IRNSS S-band support
Built-in FPGA for pre-processing and channel synchronization
An interactive map allows residents of New York to see what bacteria was mapped at their neighborhoods subway stops. (Image: Wall Street Journal)
A Big Data project in New York last summer set out to map germs on the city subway system, reports the Wall Street Journal. The scientists, from Weill Cornell Medical College, identified hundreds of types of bacteria in the transit system as a way to study the microbiology of urban environments.
In the 18-month study, researchers found germs that can cause bubonic plague uptown, meningitis in midtown, stomach trouble in the financial district and antibiotic-resistant infections throughout the boroughs, the WSJ writes. The team also found bacteria that keep the city livable, by sopping up hazardous chemicals or digesting toxic waste. They even tracked the trail of bacteria associated with cheese and sausage, popular snack foods among commuters.
The study is the first genetic profile of a metropolitan transit system. Microbiologists hope to discover new ways to track disease outbreaks, detect bioterrorism attacks, and combat the antibiotic resistance among microbes, which causes about 1.7 million hospital infections every year. Similar projects are taking place in Oregon (classrooms), Virginia (plumbing in buildings), and Chicago (hospitals).
The research team gathered DNA from turnstiles, ticket kiosks, railings and benches, then sequenced the genetic material and sorted it by supercomputer. They compared the results to databases of known bacteria, viruses and other life-forms. The findings uncovered how commuters seed the city subways every day with bacteria from the food they eat, the pets or plants they keep, and their shoes, trash, sneezes and unwashed hands. The team detected signs of 15,152 types of life-forms.
An online database at the Wall Street Journal allows residents to see what microbes were found at the stations they frequent.
