Satellite Navigation PVT Estimation with Trust Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Position, Navigation, and Timing (PNT) platforms are vulnerable to spoofing attacks, which can disrupt critical infrastructure by providing false GPS signals, leading to inaccurate position, velocity, and time estimates.
Innovation Solution
A system that generates Position, Velocity, and Time (PVT) estimates with assurance metrics using open-universe probability models (OUPMs) to detect inconsistencies and reduce the influence of spoofed GNSS signals, incorporating inertial measurements and verification information to enhance trust assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS receiver uses broadcasted signals for positioning and timing calculations, then position, velocity, and time estimates are obtained, but the estimates become inaccurate when spoofed signals are present
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between the GPS receiver and the spoofed signals. This verification system cross-checks multiple signal characteristics and sources to identify and filter out spoofed signals before they can corrupt the PVT estimates, thereby maintaining both accuracy and reliability in adversarial environments
Solution Approach 2:
The patent applies preliminary anti-action by implementing preemptive verification measures that detect and neutralize spoofing attempts before they can affect the positioning and timing calculations. The system proactively analyzes signal integrity and cross-validates data from multiple sources in advance, preventing spoofed signals from compromising the PVT estimates
2Reliability
If verification information and inconsistency tests are applied to detect spoofing, then trust assessment and integrity of PVT estimates are improved, but system complexity increases
Solution Approach 1:
The patent segments the verification process into distinct modular components, each responsible for specific verification tasks such as signal consistency checks, cross-source validation, and trust assessment. This modular segmentation allows the system to maintain high reliability through comprehensive verification while managing complexity through organized, independent functional blocks that can be implemented and maintained separately
Data Source
AI summary
A method for determining position of a mobile system, the method includes receiving global navigation satellite (GNSS) signals by a receiver of the mobile system, generating a plurality of position estimates based on at least pseudo-distances determined from at least some of the GNSS signals, wherein each position estimate is generated based on a different set of pseudo-distances, determining an inconsistency in one or more of the position estimates based on verification information, generating a trust assessment for each position estimate based on determined inconsistencies, outputting a position estimate associated with a higher trust assessment as a position of the mobile platform, and reducing an influence of a GNSS signal on a future position estimate generation based on a lower trust assessment for position estimates generated based on the GNSS signal.