Feature analysis of navigation spoofing signals in the TEXBAT scenario

Spatial location information is fundamental for human living range construction. The GNSS system provides positioning information as the most direct source of spatial location information, with accuracy, security, and authenticity being particularly important. Navigation spoofing refers to intentionally transmitting false satellite signals to deceive receivers into calculating incorrect positions. By utilizing a signal feature detection method that compares the differences between spoofed and genuine signals, receivers can determine whether a signal is real or not. To gain further insight into these differences, this study deeply analyzes the signal characteristics during receiver tracking using the multi-scene spoofing data set (TEXBAT) provided by the Radio Navigation Laboratory at the University of Texas. This analysis serves as a basis for developing deception detection algorithms. Results indicate that power traction-based spoofs exhibit noticeable differences compared to genuine signals in terms of power characteristics, carrier phase characteristics, and pseudo-code phase characteristics; thus making them effective features for detecting spoofs.