GNSS Spoofing Detection based on Decomposition of the Complex Cross Ambiguity Function

Sahil Ahmed, Samer Khanafseh, Boris Pervan

Abstract:	In this paper, we describe, implement, and validate a new method to decompose the Complex Cross Ambiguity Function (CCAF) of spoofed Global Navigation Satellite System (GNSS) signals into their constitutive components. The method is applicable to spoofing scenarios that can lead to Hazardous Misleading information (HMI) and are difficult to detect by other means, including previously proposed methods that rely on observation of the magnitude of the CCAF alone [1]. The method can identify spoofing in the presence of multipath and when the spoofing signal is power matched and offsets in code delay and Doppler frequency are relatively close to the true signal. Spoofing can be identified at an early stage within the receiver and there is no need for any additional hardware.
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:	3569 - 3580
Cite this article:	Ahmed, Sahil, Khanafseh, Samer, Pervan, Boris, "GNSS Spoofing Detection based on Decomposition of the Complex Cross Ambiguity Function," 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. 3569-3580. https://doi.org/10.33012/2021.17987
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