A Framework for GNSS Spoofing Detection Through Combinations of Metrics

被引:14
|
作者
Rothmaier, Fabian [1 ]
Chen, Yu-Hsuan [1 ]
Lo, Sherman [1 ]
Walter, Todd [1 ]
机构
[1] Stanford Univ, GPS Lab, Stanford, CA 94305 USA
关键词
Monitoring; Measurement; Global navigation satellite system; Logic gates; Correlation; Fault trees; Satellite broadcasting; Generalized likelihood ratio test (GLRT); GNSS; spoofing detection; RECEIVER; POWER;
D O I
10.1109/TAES.2021.3082673
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
We present a framework for GNSS spoofing detection combining an arbitrary number of metrics while guaranteeing a fixed maximum false alert probability. The detection test assumes a simple form that makes it suitable for real time applications. We define criteria for metrics to be used within this framework and demonstrate compatibility with a range of commonly used metrics. We achieve a more than 70% reduction in worst-case missed detection probability compared to conventional metric combination techniques.
引用
收藏
页码:3633 / 3647
页数:15
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