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

  • Lixuan Li
  • Chao SunEmail author
  • Hongbo Zhao
  • Hua Sun
  • Wenquan Feng
Conference paper
  • 162 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 312)

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 

Notes

Acknowledgement

We would like to thank all those who have helped the work. First of all, we extend our sincere gratitude to the committee of Chinacom 2019 - 14th EAI International Conference on Communications and Networking in China for providing the opportunity and support. High tribute shall be paid to Joon Wayn Cheong Andrew G. Dempster and Laure Demicheli from The University of New South Wales whose profound knowledge greatly promoted this work. Finally, we are also indebted to William’s team for correct language expression.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  • Lixuan Li
    • 1
  • Chao Sun
    • 1
    Email author
  • Hongbo Zhao
    • 1
  • Hua Sun
    • 1
  • Wenquan Feng
    • 1
  1. 1.Beihang UniversityBeijingChina

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