A team of researchers from Stanford University and the University of Colorado describe how they are using relatively inexpensive equipment and sophisticated software and analyses to detect and warn of GNSS jamming and spoofing.
Combining Fiber Optics and Wideband Radio
A team of researchers has developed a system that uses White Rabit to achieve decimeter-level position accuracy in multipath environments.
How Inertial Systems and GNSS Availability Will Help
Self-driving cars in urban environments can be problematic. The required multi-sensor automated systems will include GNSS, but buildings block and reflect GNSS signals, reducing system availability and accuracy. Researchers from the Illinois Institute of Technology report on how inertial navigation systems coupled with wheel-speed sensors and vehicle dynamic constraints can help.
Mode N could meet the need for a reliable alternative PNT system for aircraft navigation. It builds on aspects of existing navigation systems and aviation-certified signals not originally intended for navigation, including some used for communications and surveillance. In this article, a team of researchers from the German Aerospace Center describe Mode N, looking at its signal format, required ground infrastructure, aircraft avionics and the potential position accuracy this system could offer.
How Good Are They?
Stanford University and Hexagon are investigating the utility of applying ionospheric corrections to decrease the overall convergence time of precise point positioning (PPP). This article looks at the level of accuracy that can be achieved, the latency of corrections supplied in real-time PPP, as well as the location and coverage of the network of stations required to determine the corrections.
Getting It Better
While RTK positioning and attitude determination is readily done with high-end equipment, it is still a challenge to get good results for kinematic platforms with low-cost receivers. In this month’s column, we learn how a team of researchers in France is trying to do just that.
Fusing Automotive Radar and OBD-II Speed Measurements with Fuzzy Logic
The authors discuss how fuzzy logic can be used to get a reliable speed estimate from radar and standard onboard vehicle data, and how these estimates can be combined with inertial measurements and GPS-derived position and velocity in an extended Kalman filter to produce an integrated navigation solution.
Getting the Best in Both WorldsGPS alone won’t cut it. Thankfully, other navigation sensors can be used to supplement or replace GNSS when the going gets tough for GPS alone.
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