GNSS Spoofing Detection via Signal Clustering
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Solution Overview
Problem
Current GNSS systems are vulnerable to spoofing attacks that manipulate position and time information by injecting spoofed satellite signals, with existing detection methods being complex, limited in effectiveness, and unable to identify specific spoofed satellites, especially when attackers do not have physical access to the antenna and adjust spoofing power to be marginally higher than authentic signals.
Innovation Solution
A method using multiple satellite signal receive chains with a low antenna envelope correlation coefficient to distinguish between authentic and spoofed signals by clustering signals based on relative amplitude and phase values, allowing for accurate detection and exclusion of spoofed signals, thereby providing a trusted position and timing reference to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple physical antenna elements are used for spatial signature-based spoofing detection, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the antenna system into multiple receive chains, each processing signals from different antenna elements. This segmentation allows independent analysis of signal characteristics from each chain, enabling spoofing detection through comparison of relative amplitude and phase values without requiring complex spatial processing of the entire array.
Solution Approach 2:
The patent transforms the detection problem from the spatial domain to the signal processing domain by analyzing relative amplitude and phase values across multiple receive chains. This dimensional transformation enables spoofing detection through clustering algorithms that operate on signal characteristics rather than requiring complex spatial signature analysis.
2Reliability
If array-based spatial signature methods are used, then spoofing detection is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent extracts key signal characteristics (relative amplitude and phase values) from the full signal data across multiple receive chains. By taking out only the essential features for comparison, the method reduces computational complexity while maintaining detection accuracy, avoiding the need for complex spatial signature analysis.
Solution Approach 2:
The patent applies partial action by focusing analysis on specific signal characteristics (amplitude and phase relationships) rather than processing the complete signal waveform. This selective processing reduces computational burden while providing sufficient detection capability through clustering of extracted features.
3Reliability
If existing anti-spoofing methods are used, then some detection capability is provided, but they cannot identify specific spoofed satellites and rely on limited techniques
Solution Approach 1:
The patent creates a universal detection framework that can identify specific spoofed satellites by analyzing relative amplitude and phase values across multiple receive chains. The clustering algorithm can detect various spoofing scenarios (single satellite spoofing, multiple satellite spoofing, covered attacks) using the same fundamental approach, providing versatile detection capability.
Solution Approach 2:
The patent implements feedback by continuously monitoring relative amplitude and phase values and using clustering results to identify and flag specific spoofed satellites. This feedback mechanism allows the system to adapt to different spoofing scenarios and provide targeted detection results that indicate which specific satellites are compromised.
Data Source
AI summary
The invention pertains to a method for operating a GNSS receiver in the presence of spoofed signals, the GNSS receiver having a plurality of satellite signal receive chains with a low associated antenna envelope correlation coefficient, the method comprising: receiving signals from said plurality of satellite signal receive chains; obtaining (1010) relative amplitude and phase values of respective signals as provided by a pair of satellite signal receive chains from among said plurality of satellite signal receive chains; clustering (1020) said received signals on the basis of said monitored relative amplitude and phase values; and asserting (1040) a spoofing detection state when said clustering reveals a cluster of signals exhibiting similar relative amplitude and phase values over a predetermined time frame (1030). The invention also pertains to a GNSS receiver.