Spoofing interference detection algorithm based on EWMA control chart and robust estimation

The induced spoofing interference makes the airborne receiver deviate from the real position when it is not easy to be detected, which poses a threat to the safety of civil aviation flight. The traditional innovation sequence detection algorithm has the problem of spoofing detection delay and cannot detect the end time of spoofing in time. To solve this problem, a spoofing detection algorithm based on an Exponentially Weighted Moving Average (EWMA) control chart and robust estimation is proposed. The innovation sequence output by the tightly-coupled integrated navigation system is taken as the sample of EWMA control chart. The historical moment statistics and the current signal sequence weighting are employed to construct a test statistic following a Gaussian distribution to detect spoofing interference and identify the spoofed satellite. At the same time, the gain matrix is adjusted dynamically by using the robust estimation to reduce the influence of spoofing on the innovation sequence, and spoofing detection speed is accelerated by changing the parameters of the equivalent weight function. The simulation results show that comparing with the traditional innovation sequence detection algorithm, the proposed algorithm can obviously shorten the detection time of small mutation spoofing and slow change spoofing, and can detect the spoofing end time in time.