Research Article
GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power
@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
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.
