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. simple hypothesis test independent of nuisance parameters that results in significantly reduced missed detection probability compared to prior approaches. It...
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| Veröffentlicht in: | Navigation (Washington) 2021-06, Vol.68 (2), p.243-258 |
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| creator | Rothmaier, Fabian Chen, Yu‐Hsuan Lo, Sherman Walter, Todd |
| description | 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. |
| doi_str_mv | 10.1002/navi.420 |
| format | Article |
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| ispartof | Navigation (Washington), 2021-06, Vol.68 (2), p.243-258 |
| issn | 0028-1522 2161-4296 |
| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection |
| subjects | Algorithms Decision theory Detection direction of arrival Dual polarization (waves) Global navigation satellite system Hypotheses Iterative methods Probability theory Signal processing Spoofing spoofing detection statistical testing |
| title | GNSS spoofing detection through spatial processing |
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