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GPS jammer is an important new technology

GPS is a key technology in driverless vehicles as it enables driverless cars to calculate their positioning, navigation and synchronization. There are concerns that bad actors will use computer equipment to jam signals or usurp one of the satellites, which could result in vehicles fleeing.

In the past, it has been difficult to scan for GPS vulnerabilities in a mobile environment because US federal law prohibits the transmission of GPS jammers without prior approval. SWRI's spoofing test system places a physical component on the center line or centerline of the vehicle's GPS antenna and remotely monitors GPS signals at a ground station.

The system receives the actual GPS signal from the vehicle's antenna, processes and inserts the analog signal, and then sends the analog signal to the vehicle's GPS receiver. This gives the spoofing system complete control over the GPS receiver. SWRI has successfully developed a test that automakers can use to test the reliability of their driverless systems without irritating federal regulators.

GPS jammer

"This is a legitimate way to improve the resiliency of the autonomous vehicle network by detecting the transmission of steerable or steerable GPS signals and analyzing system response," said Victor Murray, leader of the network team. The physical system of the SWRI group.

While testing the system on an automated vehicle in an automated lane, engineers were able to change the vehicle's course by 10 meters to pull it off the road. Sooner or later the vehicle may turn.

"Most autonomous cars don't rely solely on GPS, as they combine a combination of sensors like lidar, camera vision, GPS, and other tools," Murray said. “However, GPS provides the basis for positioning in many systems. Therefore, it is important that manufacturers can develop technologies to address the vulnerabilities. ""

The new system is part of SWRI's internal research program. Future research will focus on the role of gps deception in gps jammers and airplanes. Last month, University of Illinois researchers developed a method to eliminate malicious signal interference using a system of sensors, encoders and decoders to detect malicious signal interference. When an error signal is sent.


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