GNSS Spoofing Detection Based on Abnormal Receiver Noise and Carrier-to-Noise Ratio Metric

Abstract

Spoofing interference is one of the great threats to satellite navigation systems and will pose a great threat to targets using Global Navigation Satellite System (GNSS) technology. At present, most of the methods for detecting spoofing interference of satellite signals based on signal power have the problem of ideal threshold setting and low actual detection probability. Some of them need to build a multi-correlator structure, leading to high receiver cost and difficulty in practical application. This paper proposes a low-cost spoofing signal detection method based on the abnormal changes of noise power and carrier-to-noise ratio in the receiver channel. In order to eliminate the influence of random fluctuation error, the noise uncertainty is considered in the threshold setting. And the outliers are eliminated according to the PauTa criterion. The spoofing detection performance is validated on scenario 2 to scenario 3 from the well-known Texas Spoofing Test Battery (TEXBAT) dataset. The average detection probability of two scenarios is above 90%. Compared with the SQM algorithm and the algorithm based on the autocorrelation function, the proposed method achieves higher detection accuracy with lower device cost.