Research on Detection of Spoofing Signal with Small Delay Based on KNN

Global Navigation Satellite System (GNSS) has been widely used in various fields around the world, and users are increasingly dependent on it. The GNSS spoof jamming threat has also received much attention. In order to ensure the security of GNSS services, spoof detection technology has been studied in the field of navigation in recent years, and has made a lot of achievements. The traditional detection method of multi peak spoof jamming can only detect spoof jamming signal whose difference from the real signal is more than two chips. And the detection of spoof signal with delay in two chips has poor performance. In this paper, we mainly focus on the detection of small delay spoof jamming signal, and use the k- nearest neighbor (KNN) classification algorithm to detect spoof jamming signal in the acquisition phase. The experimental results show that this method can effectively detect spoof jamming signals with a delay of more than 0.6 chips, and has a high detection accuracy.