Satellite navigation spoofer localization based on Kalman filter from LEO satellites

Abstract With the wide application of satellite navigation services, satellite navigation interference has increasingly become an important factor affecting the normal use of user terminals. Research shows that navigation jamming and spoofing have occurred in conflict areas, civil airports and highways. They have affected normal transportation. Because the landing power of the satellite navigation spoofing signal is generally only 3~10dB higher than the normal navigation signal and it is still below the noise, it is difficult to detect spoofing by general methods such as TOA and FOA. In addition, since the navigation spoofer camouflages the Doppler and signal delay of the normal satellite signal, it is difficult for the normal receiver to locate itself normally even if it recognizes the spoofing attack, let alone locate spoofer. This paper proposes a satellite navigation spoofer location method based on Kalman filter from LEO sensing satellites. Using high dynamic LEO sensing satellites, the antenna receives normal GNSS signals and positioning, and another antenna receives spoofer’s signal and positioning. Using Kalman filter combined Doppler and pseudorange measurement, the spoofer’s position and clock offset are estimated. The simulation results show that the accuracy depends on the satellite spatial distribution and clock characteristics of the spoofer.