RT Journal Article
SR Electronic
T1 GNSS spoofing detection through spatial processing
JF NAVIGATION: Journal of the Institute of Navigation
JO NAVIGATION
FD Institute of Navigation
SP 243
OP 258
DO 10.1002/navi.420
VO 68
IS 2
A1 Fabian Rothmaier
A1 Yu-Hsuan Chen
A1 Sherman Lo
A1 Todd Walter
YR 2021
UL https://navi.ion.org/content/68/2/243.abstract
AB In this paper, we present an algorithmic framework for signal-geometry-based approaches of GNSS spoofing detection. We formulate a simple vs. simple hypothesis test independent of nuisance parameters that results in significantly reduced missed detection probability compared to prior approaches. It is highly tractable such that it can be computed online by the receiver. We employ a hypothesis iteration framework that finds spoofed subsets of satellites efficiently and accounts for the presence of weak multipath, for a provable decision behavior in safety-of-life applications. We support the theoretical derivations by showing results on previously published simulated and on-air data sets. We validate the measurement model and show robustness to multipath with flight data from a Dual Polarization Antenna (DPA) mounted on a C12 aircraft. Finally, we show the algorithm’s benefit on data recorded during a government-sponsored live spoofing event.