Satellite Beacon Positioning with Inertial Data for GNSS-Denied Navigation
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Solution Overview
Problem
Navigation systems relying on inertial measurements after GNSS signal spoofing or jamming suffer from increasing errors over time, necessitating improved positioning methods.
Innovation Solution
Utilizing atomic clock derived time, satellite beacon data, and inertial measurement units to generate probability density functions (PDFs) for accurate geographical positioning, even in the absence of reliable GNSS signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inertial navigation is used after GNSS signal spoofing or jamming, then navigation can continue without GNSS signals, but positioning accuracy deteriorates over time due to accumulating errors
Solution Approach 1:
The patent introduces satellite beacon signals as an intermediary measurement source between GNSS and pure inertial navigation. These beacons provide periodic position updates that correct inertial drift without requiring full GNSS signals, thereby maintaining positioning accuracy while ensuring navigation continuity during GNSS denial scenarios
Solution Approach 2:
The patent merges multiple navigation sources (inertial measurement unit, satellite beacon signals, and probability density function estimators) into a unified navigation solution. This combination allows the system to leverage the strengths of each source - the continuity of inertial navigation with the accuracy corrections from beacon-based position updates
2Measurement precision
If satellite beacon data and probability density functions are integrated with inertial measurements, then positioning accuracy is enhanced, but system complexity increases
Solution Approach 1:
The patent segments the navigation solution into modular components: inertial measurement unit, satellite beacon receiver, probability density function estimators for each satellite, and a fusion processor. This segmentation allows independent optimization of each component and simplifies the overall system architecture by dividing the complex estimation problem into manageable probabilistic modules
Solution Approach 2:
The patent transforms the navigation problem from deterministic position calculation to probabilistic parameter estimation. By representing position uncertainty through probability density functions and using statistical parameters (mean, covariance) to characterize the state, the system achieves higher accuracy while maintaining computationally tractable complexity through efficient parameter updates
Data Source
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AI summary
Techniques are provided for more accurately determining a geographical position of a body when Global Navigation Satellite System (GNSS) signals are jammed and/or spoofed. In the absence of valid GNSS data, data about beacon signals emitted by a plurality of satellites and each of the plurality of satellites is used with inertial measurement data to estimate the body's geographical position.