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Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power

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  • @INPROCEEDINGS{10.1007/978-3-030-41114-5_40,
        author={Lixuan Li and Chao Sun and Hongbo Zhao and Hua Sun and Wenquan Feng},
        title={GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power},
        proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2020},
        month={2},
        keywords={Moving variance Carrier power Spoofing Signal quality monitoring},
        doi={10.1007/978-3-030-41114-5_40}
    }
    
  • Lixuan Li
    Chao Sun
    Hongbo Zhao
    Hua Sun
    Wenquan Feng
    Year: 2020
    GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-41114-5_40
Lixuan Li1, Chao Sun1,*, Hongbo Zhao1, Hua Sun1, Wenquan Feng1
  • 1: Beihang University
*Contact email: sunchao@buaa.edu.cn

Abstract

Spoofing represents a significant threat to the integrity of applications relying on Global Navigation Satellite System (GNSS). A spoofer transmits counterfeit satellite signals to deceive the operation of a receiver. As multipath and spoofing signals have similar signal structures, Signal Quality Monitoring (SQM) techniques, originally designed for multipath detection, were identified to be useful for spoofing detection. Recently, a moving variance (MV) based SQM method was developed to improve the performance of raw SQM metrics. However, the main problem with implementing the MV-based SQM technique is differentiating the spoofing attack from multipath. This work presents a two-dimensional detection method using carrier power and moving variance to improve detection performance. Besides, false alarms caused by multipath are avoided by the two-dimensional threshold. A dataset called Texas Spoofing Test Battery and a multipath scenario from Osaka were employed to evaluate the performance of the proposed algorithm.

Keywords
Moving variance Carrier power Spoofing Signal quality monitoring
Published
2020-02-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-41114-5_40
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