An Approach to Separate GNSS Spoofing Signals from Authentic Signals Using Relative Positioning

Zhiyuan Chen, Hong Li, Zhou Ziheng, Mingquan Lu

Abstract:	Global Navigation Satellite System (GNSS) spoofing attacks and defensive countermeasures are developing rapidly. Aiming at misleading the estimation of a fake solution toward the victim receiver, spoofing attacks are likely to cause severe consequences. To this end, the deception is achieved by manipulating the information of pseudorange in most cases. Hence, the difference of pseudorange between spoofing and authentic signals can be an effective separation basis. In this paper, a new approach based on relative positioning is proposed to separate GNSS spoofing from authentic signals, which is capable of substituting the detection and classification investigated in conventional works. Monte Carlo simulations and outdoor experiments illustrate this point in the end.
Published in:	Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021) September 20 - 24, 2021 Union Station Hotel St. Louis, Missouri
Pages:	3642 - 3652
Cite this article:	Chen, Zhiyuan, Li, Hong, Ziheng, Zhou, Lu, Mingquan, "An Approach to Separate GNSS Spoofing Signals from Authentic Signals Using Relative Positioning," Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021, pp. 3642-3652. https://doi.org/10.33012/2021.17965
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