GNSS Spoofing Jamming Detection Based on Generative Adversarial Network

Abstract

The GNSS spoofing jamming is generated by transmitting spoofing signals that are identical or similar to the authentic satellite signals but have a stronger power in order to guide a receiver to acquire and track them instead of real signals. The main aim of spoofing is to make the receiver obtain wrong timing and positioning information. In this paper, the characteristics of spoofing signals in the acquisition phase are analyzed and studied. Based on the idea of confrontation evolution of a general adverse network (GAN), this study proposes a GNSS anti-spoofing method. The performance of the proposed method is verified by simulations experiments. The experimental results show that when the pseudo-code phase difference between the spoofing signal and the authentic signal exceeds 0.5 chip, the detection probability of the GAN can reach more than 98%. The proposed method can also be applied to situations where the spoofing signal is highly synchronized with the real signal.