Defense Against Spoofing in GPS Receiver using Correlation and Least Mean Squares Method Based on Sign-Data Algorithm

Among the variety of GPS signal interference, spoofing is considered as the most dangerous intentional interference. If spoofing signal would have existed in the received signal GPS, wrong information reaches the receiver which causes problems in time and location computation of the receiver. Defense against spoofing includes the spoofing detection and reduction. In this paper, we use the properties of correlation function for spoofing detection . In order to mitigate spoofing, we apply the method of Least Mean Squares (LMS) based on sign-data algorithm. This approach reduces effect of the spoofing interference in the received signal GPS and defends against interference of kind of delay spoofing. The proposed approach have been implemented on real dataset and in the acquisition stage from GPS receiver processing. The results show that the adaptive method based on sign-data algorithm decrease effectiveness of spoofing on average 89 percent. In addition to spoofing reduction, the Position Dilution of Precision (PDOP) parameter improves at all of results. PDOP parameter indicates the spatial position of identified satellites. The PDOP value mitigated from 47 to 2.66 on average.