GNSS Ambiguity Validation via Cross-Validated State Vectors
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Solution Overview
Problem
Traditional satellite positioning methods face challenges in achieving high accuracy due to outliers and noisy data in satellite observations, which can decrease positioning precision.
Innovation Solution
A system and method that validate GNSS ambiguities by determining state vectors, transforming ambiguities, and comparing them to ensure accuracy and integrity of positioning solutions, using a computing system that processes satellite and sensor data from multiple constellations and sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional satellite positioning methods are used, then the positioning process is simple, but the positioning accuracy decreases due to outliers and noisy data
Solution Approach 1:
The patent applies preliminary action by determining multiple state vectors and validating ambiguities before final position calculation. The system determines first and second state vectors with different ambiguity sets, validates them against each other, and only then uses the validated ambiguities for positioning. This preliminary validation process ensures accuracy by detecting and correcting outliers before they affect the final position solution.
Solution Approach 2:
The patent uses state vectors as intermediary objects to validate satellite observations. Instead of directly using raw satellite data for positioning, the system transforms observations into state vectors, extracts ambiguities from these intermediaries, validates them, and then uses the validated ambiguities for final position calculation. This intermediary step filters out noisy data and outliers.
2Measurement precision
If multiple state vectors are determined and validated, then the positioning accuracy improves, but the processing time increases
Solution Approach 1:
The patent applies partial action by determining multiple state vectors (excessive) but only using the validated portion for final positioning. The system determines first and second state vectors with different ambiguity sets, validates them, and uses only the validated ambiguities for positioning. This approach ensures that while multiple vectors are processed, only the necessary validated portion contributes to the final solution, optimizing the balance between accuracy and processing time.
3Reliability
If satellite observations are corrected using validation, then the reliability of positioning solutions improves, but the complexity of data processing increases
Solution Approach 1:
The patent implements feedback by using the second state vector to validate the first state vector's ambiguities. The system determines ambiguities from both state vectors, compares them, and uses this feedback to identify and correct outliers. The validation process provides feedback on the quality of ambiguities, ensuring that only reliable ambiguities are used for final positioning, thereby improving reliability through systematic verification.
Data Source
AI summary
A system and method for determining a GNSS receiver position includes receiving a first and a second set of satellite observations; determining a first and second ambiguity set associated with a first and second transformation respectively; determining cross-validated ambiguities between the first and second ambiguity sets; and determining the GNSS receiver position based on at least one of the first or second ambiguity sets.