Affiliations: [a] School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China | [b] School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China
Correspondence:
[*]
Corresponding author: Shaogang Dai, School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China. E-mail: daisg@hdu.edu.cn.
Abstract: GNSS spoofing, generated by a repeater, is very similar to a true navigation signal, and is not easy to be detected. The statistical properties between satellite channel and spoofing channel are different. Motivated by this fact, we propose a GNSS spoofing detection method based on this difference. Assuming the repeater is located on the ground, the jamming channel is a Rayleigh channel. Navigation satellite channel can be modeled as a Lutz model, which has the “good” and “bad” states. These two states follow the Rice distribution and Rayleigh-Lognormal distribution, respectively. Three kinds of goodness-of-fit tests are applied to detect the GNSS spoofing and their performances are compared. Finally, the effectiveness of the proposed method is verified by simulations.
Keywords: Satellite navigation, spoofing detection, satellite channel model, goodness-of-fit test
