The focus here has been on correct detection of spoofing attacks from interference sources. To this end several predespreading and postdespreading spoofing detection metrics, namely temporal/ spectral analyses, SPCA, C/N0, and SQM, were implemented and analysed under different interference signals, namely CW jammer, wideband noise, chirp jammer, and multipath. Considering the real data analysis results, the predespreading detection metrics, namely variance analysis and SPCA, are not affected under multipath and hence used to discriminate between spoofing and multipath signals based on the assumption that these metrics are not affected in typical multipath scenarios. The assumption was validated by collecting several data sets in dense urban environments and analysing the metric results. The temporal/spectral analyses in the presence of jamming signals were affected. Among jamming signals, the chirp jammer had the most destructive effect on the performance of a receiver and consequently severely affected the performance of the postdespreading detection metrics. The chirp jammer also affected the SPCA spoofing detection metric and its behaviour on detection metrics is very similar to that of a nonoverlapped spoofing attack. The SQM metric was implemented to detect spoofing and multipath at the postdespreading level. As shown in the scenarios used, the SQM metric is not overly sensitive for short-range multipath/spoofing signals.
Feature article: An approach to detect GNSS spoofing
IEEE Aerospace and Electronic Systems Magazine ; 32 , 8 ; 64-75
2017-08-01
2210417 byte
Article (Journal)
Electronic Resource
English
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