GNSS Spoofing Detection and Identification Based on Clock Drift Monitoring Using Only One Signal

Shunshun Shang, Hong Li, Yimin Wei, Mingquan Lu

Abstract: In this paper, we propose a GNSS spoofing detection and identification method based on clock drift monitoring using only one signal. At present, there are many anti-spoofing techniques based on time information monitoring, such as clock bias and drift monitoring. However, these techniques estimate the time information using observations of at least four signals. As a result, they can only detect spoofing but cannot identify it. Besides, in order to estimate the time information, they need to solve a group of nonlinear equations iteratively, which requires a heavy computational load. In view of this, we propose a new method to estimate the clock drift using only one signal. Therefore, the proposed method can not only detect the spoofing signal but also identify it, and it can work normally even when authentic signals cannot be received. Furthermore, the method estimates the drift by solving a linear equation without any iteration, which has a lighter computational load compared to the previous methods. Experiments show that the method can detect and identify the spoofing signal when the spoofer moves, manipulates the time information, or is driven by an ordinary clock, such as a crystal clock.
Published in: Proceedings of the 2020 International Technical Meeting of The Institute of Navigation
January 21 - 24, 2020
Hyatt Regency Mission Bay
San Diego, California
Pages: 331 - 340
Cite this article: Shang, Shunshun, Li, Hong, Wei, Yimin, Lu, Mingquan, "GNSS Spoofing Detection and Identification Based on Clock Drift Monitoring Using Only One Signal," Proceedings of the 2020 International Technical Meeting of The Institute of Navigation, San Diego, California, January 2020, pp. 331-340.
https://doi.org/10.33012/2020.17147
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