Spoofing attack detection for radar network system state estimation

Abstract

The residue-based traditional chi-square detector cannot effectively detect the falsified data during radar state estimation, and propose a spoofing attack detection method for radar network system state estimation. Firstly, the model of radar measurement and state estimation in the radar network system is established and the spoofing attack is described on this basis. Then, in the process of Kalman filter based data fusion and confirmation, the distribution difference of the updated innovation before and after the spoofing attack is studied. A detection method for dealing with spoofing attacks is proposed and the error covariance of state estimation corresponding to different detection results is analyzed. Finally, the simulation verifies the universal validity of the detection method.