GNSS Convergence Data Sharing Network
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Solution Overview
Problem
GNSS receivers face prolonged convergence times due to correction bias errors, which degrade over time and distance, limiting their ability to achieve precise position fixes, especially in single-frequency band systems.
Innovation Solution
Implementing a system where un-converged GNSS receivers can share convergence data with nearby converged receivers, including refinements to atmospheric and orbit models, satellite clock errors, and carrier phase measurements, to expedite the convergence process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a GNSS receiver uses correction data from a single reference station, then the system complexity is low, but the positioning precision is limited due to correction bias errors
Solution Approach 1:
The patent combines correction data from multiple reference stations to form a networked system. By merging observations from multiple sources, the system resolves correction bias errors that cannot be detected by a single reference station, thereby improving positioning precision while distributing the complexity across multiple nodes rather than concentrating it in one receiver.
Solution Approach 2:
The system implements feedback mechanisms where reference stations continuously monitor and exchange correction data. The networked architecture allows receivers to receive updated correction information from multiple sources, and the system continuously refines positioning solutions based on ongoing observations and corrections from the network, improving precision dynamically.
2Measurement precision
If correction data is collected over time to reduce bias errors through convergence, then the positioning precision improves, but the convergence time increases
Solution Approach 1:
Reference stations perform preliminary convergence and generate correction data in advance. By pre-processing and storing correction information at multiple reference stations before a rover needs it, the system reduces the time required for the rover to converge, while still achieving high precision through the accumulated data from multiple sources.
Solution Approach 2:
The system creates copies of correction data across multiple reference stations. Instead of requiring a single receiver to independently converge over time, the converged correction information is copied and distributed to multiple receivers simultaneously, dramatically reducing convergence time for all users while maintaining high precision.
3Measurement precision
If correction bias errors are reduced through extensive observations and convergence, then the positioning precision improves, but the time required for convergence increases
Solution Approach 1:
The patent merges observations from multiple reference stations to accelerate the convergence process. By combining data from multiple sources simultaneously, the system achieves the same level of correction accuracy much faster than a single station could independently, thereby improving both precision and convergence speed.
Solution Approach 2:
The network architecture introduces intermediary reference stations that facilitate faster convergence. These intermediaries pre-process and share correction information, acting as mediators that transfer converged data between stations and rovers, thereby speeding up the overall convergence process while maintaining high correction accuracy.
Data Source
AI summary
Systems and methods for sharing convergence data between GNSS receivers are disclosed. Convergence data received at a GNSS receiver via a communication connection may be utilized to determine a position of the GNSS receiver.