Anti-Spoofing Extended Kalman Filter for Satellite Navigation Receiver

Abstract

There is a threat to the satellite navigation receiver from satellite signal spoofing because traditional algorithms for navigation solution may not fulfill the accuracy requirements of continuous navigation with spoofing signals. Therefore, an anti- spoofing filter has been proposed for accurate navigation with the spoofing signals. In this approach, the conventional extended Kalman filter is modified using the weight matrix of robust M- estimator, which is improved to decrease the computational complexity with enough navigation accuracy. Simulation of traditional extended Kalman filter, snapshot least squares estimation and the proposed anti-spoofing M-estimator based extended Kalman filter suggests that the proposed M-estimator based extended Kalman filter could effectively eliminate the influence of spoofing signal to the navigation solution accuracy with low complexity to realize.