Satellite Geolocation Disruption Detection via Coherence Metrics
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Solution Overview
Problem
Current satellite geolocation systems are vulnerable to intentional disruptions of differential correction messages, which can lead to erroneous positioning computations, and existing security measures are inadequate to detect such disruptions effectively.
Innovation Solution
A method and device that compute differential correction coherence metrics for each satellite in view, detecting disruptions when the number of satellites exceeding a predetermined threshold indicates a potential spoofing attack, thereby alerting users and enhancing geolocation security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If differential correction messages are used to improve positioning precision, then measurement precision is improved, but the system becomes vulnerable to intentional disruptions and spoofing attacks
Solution Approach 1:
The system performs preliminary verification of differential correction messages by computing coherence metrics before accepting them for positioning calculations. The method calculates expected correction values based on satellite geometry and signal characteristics, then compares these with received corrections to detect potential disruptions before they affect positioning accuracy
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring the coherence between received differential corrections and independently computed expected corrections. When inconsistencies are detected, the system provides feedback to reject the problematic correction messages and switch to alternative positioning methods, thereby maintaining reliability while preserving precision
2Reliability
If security measures are added to detect disruptions, then reliability is improved, but device complexity increases
Solution Approach 1:
The system performs self-verification by using its own received satellite signals and known orbital parameters to compute expected correction values, then compares these with received differential corrections. This self-service approach enables security verification without requiring external reference systems or additional complex infrastructure
Solution Approach 2:
The system changes the parameter being monitored from raw correction values to coherence metrics that represent the consistency between expected and received corrections. This transformation simplifies the detection logic by converting complex verification requirements into straightforward threshold comparisons of coherence parameters
Data Source
AI summary
The invention relates to a disruption detection method and device for a positioning measurement correction message of a satellite geolocation device, able to receive a composite radio signal including a plurality of signals each emitted by a satellite in view of the geolocation device, and a positioning measurement differential correction message (MC) emitted by a satellite geolocation precision augmentation system. The device (20) according to the invention includes modules (32) computing, for each of the satellites in view, at least one differential correction coherence metric depending on a positioning measurement differential correction (CAS) extracted from the received differential correction message (MC). The device (20) also includes a module (34) detecting a disruption of the correction message when the number of satellites for which the differential correction coherence metric is above a predetermined threshold exceeds a predetermined number of satellites (N0), strictly greater than one.


