An Induced Spoofing Detection Algorithm Based on Weighted Combination for BeiDou

With the development of software radio technology, Beidou satellite navigation signals are more susceptible to spoofing interference so that the research on spoofing interference detection technology is urgent and necessary. The S Curve Bias (SCB) algorithm can effectively detect spoofing interference, while for specific spoofing interference, the detection performance of this algorithm is not ideal. Aiming at this problem, an induced spoofing detection algorithm based on weighted combination is proposed in this paper. In this scheme, the most suitable weighting factor is selected through simulation analysis, and a new detection parameter is defined by the linear combination of the output amplitude of the correlator and the code tracking error. The simulation results show that the proposed algorithm can not only detect spoofing interference in the early stage of spoofing intrusion, but also its detection probability is better than SCB algorithm under the same false alarm probability. Besides, the proposed algorithm does not need to modify the structure of the receiver so that it is easy to implement.