A New Induced GNSS Spoofing Detection Method Based on Weighted Second-Order Central Moment

Global navigation satellite system (GNSS) spoofing causes the victim receiver to deduce false positioning and timing data; this notably threatens navigational safety. Thus, anti-spoofing techniques that improve reliability of GNSS systems, for which interference detection is critical, are essential. Based on distortion tracking loop correlation function symmetry target caused by gradual adjustment induced signals, we proposed a new method uses weighted second-order central moment (WSCM) difference in time-domain transient response multiple correlators left right peaks obtain test statistic, theoretically proving statistic follows Gaussian distribution. The Neyman-Pearson hypothesis used determine optimal threshold whether being spoofed. WSCM-based was compared with three conventional methods Scenarios 4 7 Texas Spoofing Test Battery database, showing probability at least 24.15% higher alarm rate 10% more advantageous lower rates alert time shortened 30 seconds, enabling 20% faster efficiency. overcomes problem existing methods, associated difficulties capturing subtle time-varying effects relative carrier phase between authentic signals; thus, it provides excellent accuracy effectiveness, broad potential applicability detection.