GNSS spoofing detection through spatial processing

In this paper, we present an algorithmic framework for signal-geometry-based approaches of GNSS spoofing detection. We formulate a simple vs. hypothesis test independent nuisance parameters that results in significantly reduced missed detection probability compared to prior approaches. It is highly tractable such it can be computed online by the receiver. employ iteration finds spoofed subsets satellites efficiently and accounts presence weak multipath, provable decision behavior safety-of-life applications. support theoretical derivations showing on previously published simulated on-air data sets. validate measurement model show robustness multipath with flight from Dual Polarization Antenna (DPA) mounted C12 aircraft. Finally, algorithm's benefit recorded during government-sponsored live event.