An Innovation Sequence Variance Interference Detection Algorithm Based on Reference Noise

Spoofing interference poses a threat to the positioning and timing security of GNSS that cannot be ignored. In traditional spoofing interference detection algorithms, the spoofing rate is often regarded as an unknown constant, which is not consistent with the actual spoofing interference. For the case of spoofing rate jitter in actual spoofing interference, this paper proposes an innovation variance spoofing interference detection algorithm based on reference noise. The jittered spoofing rate is modelled as a random variable obeying non-zero mean Gaussian distribution, and the detection statistics of innovation sequence variance is constructed by comparing the reference noise variance in the stationary no-spoofing state with the innovation sequence variance in the motion state for spoofing interference detection. Simulation results show that the proposed method has high sensitivity and good detection performance for spoofing of jitter rate. Compared with the traditional method, the proposed algorithm has obvious advantages in detection speed under real spoofing environment. In addition, the proposed method is insensitive to the mean of spoofing rate and has positive detection performance especially for slow-varying deception.