Tests a signal processing algorithm for anti-spoofing in GNSS systems, highlighting its effectiveness.
Since the early years of the operational capability of the Global Positioning Systems for civil purposes, the security aspects related to the use of the signals have always been a reason of concern. Nevretheless, jamming and spoofing of signals have always been seen as hard to implement due to the requires advanced skills for the design and the high cost of the equipment needed. Nowadays, with the advances in technology have brought to the attention that such threats to GNSS receivers are indeed more feasible. This paper deals, then with a low-complexity signal processing algorithm, named in literature a Signal Quality Monitoring Technique, testing its capabilities in realistic spoofed scenarios. Such a technique is based on the measurements of the correlation function peak quality as well as on the joint use of a pair of extra-correlators in order to detect vestigial signal presence. The work presented in this paper aims at validating the performance of the technique as an anti-spoofing method. The assessment was performed using a set of scenarios, named Texas Spoofing Test Battery (TEXBAT), which is provided by the Radionavigation Laboratory of the University of Texas at Austin.
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Manfredini et al. (2014) studied this question.
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