Global Satellite Navigation Distributed Synchronous Spoofing Monitoring Method Based on Spatial Cross-Correlation Spectrum

A novel distributed global satellite navigation synchronous spoofer, which is deployed as a pseudo-satellite constellation, sends several synchronous spoofing signals from different directions of arrival (DOAs). In this letter, we propose a synchronous spoofing monitoring method based on a spatial cross-correlation spectrum. The power and corresponding DOA measurements of those correlated sources are extracted by searching for the peak of the proposed cross-correlation spectrum. Experimental results demonstrate that the proposed method enables the simultaneous estimation of three essential features, such as DOAs, received power levels, and cross-correlations among different navigation signals, and effectively detects the synchronous spoofing signal at the moment when the monitoring correlation coefficients reach the maximum of 1.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-03-05
DOI
https://doi.org/10.1109/lcomm.2025.3545122
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
0.00

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article

Global Satellite Navigation Distributed Synchronous Spoofing Monitoring Method Based on Spatial Cross-Correlation Spectrum

Yuxuan Huang, Chun Wang, Yanhong Kou, Yan Huang
IEEE Communications Letters
GNSS positioning and interference
article

Global Satellite Navigation Distributed Synchronous Spoofing Monitoring Method Based on Spatial Cross-Correlation Spectrum

Yuxuan Huang, Chun Wang, Yanhong Kou, Yan Huang
article en

Abstract

A novel distributed global satellite navigation synchronous spoofer, which is deployed as a pseudo-satellite constellation, sends several synchronous spoofing signals from different directions of arrival (DOAs). In this letter, we propose a synchronous spoofing monitoring method based on a spatial cross-correlation spectrum. The power and corresponding DOA measurements of those correlated sources are extracted by searching for the peak of the proposed cross-correlation spectrum. Experimental results demonstrate that the proposed method enables the simultaneous estimation of three essential features, such as DOAs, received power levels, and cross-correlations among different navigation signals, and effectively detects the synchronous spoofing signal at the moment when the monitoring correlation coefficients reach the maximum of 1.

IEEE Communications LettersVol. 29(5)
Xi'an University of Architecture and Technology (CN), Beihang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 94%
GNSS positioning and interference
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