Satellite Navigation Deception Detection via Statistical Analysis
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Solution Overview
Problem
Deception devices emitting fraudulent satellite signals can deceive satellite navigation systems, leading to navigation errors and safety risks, as existing hybrid inertial navigation systems struggle to detect such deception effectively.
Innovation Solution
A navigation method that computes a first reference navigation based on inertial positioning data with satellite corrections, performs statistical analysis of positional corrections, and compares them to predetermined thresholds to detect deception, using cumulation, correlation coefficients, and variability coefficients to differentiate between genuine and fraudulent signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hybrid inertial navigation systems use innovation tests to detect outliers, then navigation reliability is improved, but deception detection capability deteriorates because fraudulent signals can satisfy the innovation test
Solution Approach 1:
The patent segments the navigation system into multiple independent navigation solutions (first navigation solution without innovation test, second navigation solution with innovation test). Each solution processes satellite positioning data independently, allowing the system to compare results and detect deception without compromising the reliability of individual solutions.
Solution Approach 2:
The patent introduces a deception detection unit as an intermediary component that receives outputs from multiple navigation solutions and compares them. This intermediary analyzes discrepancies between solutions to detect fraudulent signals, separating the detection function from the navigation computation function.
2Reliability
If a high detection threshold is implemented to avoid false alerts, then false alert rate is reduced, but deception detection sensitivity deteriorates
Solution Approach 1:
The patent applies partial action by using multiple navigation solutions with different processing characteristics. Rather than using a single high-threshold test, the system uses several solutions with varying sensitivity levels, accumulating detection evidence through comparison of their outputs.
Solution Approach 2:
The system implements feedback by continuously comparing outputs from multiple navigation solutions and using the discrepancies to adjust deception detection decisions. The deception detection unit receives ongoing feedback from each navigation solution to maintain optimal detection sensitivity.
Data Source
AI summary
A navigation method based on satellite positioning data and non-satellite positioning data includes the following steps of: computing a first reference navigation that is hybridised on the basis of non-satellite positioning data and satellite positioning data, the first reference navigation being reset on the satellite positioning data; performing a statistical analysis of the positional corrections provided by the first reference navigation and deducing therefrom the existence or the absence of a deception operation of the satellite signal receiver. A navigation system for implementing this method is disclosed.