GNSS-LEO Positioning Integration for Rapid PVT Convergence
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Solution Overview
Problem
Current global navigation satellite systems (GNSS) face limitations in convergence time for precise positioning, with regional augmentation systems providing high-precision services only within a certain range and multi-navigation satellite systems having a limited effect on accelerating convergence, while LEO satellites lead to rapid geometric structure changes.
Innovation Solution
A positioning method and system that integrates multi-frequency observation data from navigation satellites and Low Earth Orbit (LEO) augmentation satellites, using unified linear observation equations and a root-mean-square filtering algorithm to achieve rapid convergence of position, velocity, and clock bias parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-navigation satellite systems are used to increase the number of observable satellites, then the spatial geometric configurations are improved, but the convergence time is still at least 6 minutes which is insufficient for real-time positioning requirements
Solution Approach 1:
The patent introduces LEO satellites from a different orbital dimension (low Earth orbit) to complement the existing medium-to-high orbit navigation satellites. This adds a new spatial dimension to the satellite constellation, creating rapid geometric structure changes that accelerate convergence while maintaining positioning accuracy.
Solution Approach 2:
The patent creates a composite satellite constellation system that integrates LEO augmentation satellites with traditional GNSS satellites. This composite system combines the rapid geometric changes of LEO satellites with the stable coverage of medium-to-high orbit satellites, achieving both fast convergence and high positioning accuracy.
2Measurement precision
If regional augmentation systems are used to provide high-precision PVT services, then positioning accuracy is improved within a certain range, but the service is restricted to specific regions and cannot provide large-scale coverage
Solution Approach 1:
The patent makes the LEO augmentation satellite system universal by designing it to work across different regions without being constrained by geographic boundaries. The system can provide high-precision PVT services globally by leveraging the fast-moving LEO satellites that naturally cover different regions as they orbit, eliminating the regional limitation of traditional augmentation systems.
3Productivity
If LEO augmentation satellites are used to achieve rapid geometric structure changes, then convergence velocity is accelerated, but the system complexity increases due to integrating multiple orbit types
Solution Approach 1:
The patent merges the observation data from LEO augmentation satellites with traditional GNSS satellite data into a unified positioning system. By combining these different satellite types and processing their data together through integrated algorithms, the system achieves rapid convergence while managing complexity through unified data handling procedures.
Data Source
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AI summary
The present application provides a fast and precise positioning method and system. The method includes: acquiring observation data of navigation satellites and LEO augmentation satellites at a current epoch; respectively acquiring navigation telegrams of the navigation satellites and the LEO augmentation satellites, and obtaining precise orbit and clock bias; correcting errors received in the positioning process according to the acquired navigation telegrams; normalizing by taking a type of satellite navigation system as reference to obtain unified linear observation equations, and calculating observation values of positioning and velocity measurement parameters; calculating estimated values of positioning and velocity measurement parameters at the current epoch through a state equation according to the calculated observation values of positioning and velocity measurement parameters and estimated values of positioning and velocity measurement parameters at the previous epoch; generating and saving positioning and velocity measurement results at the current epoch according to the estimated values of positioning and velocity measurement parameters.