UERE Database for Location-Dependent GNSS Error Correction
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Solution Overview
Problem
Current satellite navigation systems face challenges in accurately determining location-dependent User Equivalent Range Error (UERE) values, which significantly impact position determination accuracy, as they rely on global standard device-dependent UERE values that do not account for location-specific and time-dependent factors such as multipath errors and satellite visibility.
Innovation Solution
A method to ascertain location-dependent or time-dependent UERE values by detecting signals from GNSS receivers, comparing them with reference positions, and incorporating geometry and environmental information, using machine learning to infer UERE values based on external factors like building heights, weather, and satellite positions, allowing for improved location accuracy through position fusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If global standard device-dependent UERE values are used, then the system is simple to operate, but location accuracy deteriorates due to ignoring location-specific and time-dependent factors
Solution Approach 1:
The patent applies local quality by transitioning from global standard UERE values to location-dependent and time-dependent UERE values. The system now determines UERE specifically for each location and time point by comparing detected positions with reference positions, allowing each region to have its own error characteristics rather than using a uniform global value.
Solution Approach 2:
The patent uses preliminary action by pre-determining reference positions using high-accuracy position determination systems before actual position measurements. These reference positions are stored and used for subsequent comparisons to ascertain UERE values, allowing the system to prepare error characterization data in advance rather than calculating it in real-time during operation.
2Measurement precision
If location-dependent UERE determination is implemented, then measurement precision improves, but device complexity increases due to additional detection and comparison steps
Solution Approach 1:
The patent introduces an intermediary approach by using reference positions as a mediator between the detected position and the UERE calculation. Instead of directly calculating complex error values from multiple sources, the system compares detected positions with pre-stored reference positions to indirectly determine UERE, simplifying the overall processing while maintaining accuracy.
3Reliability
If reference position determination systems are used, then reliability of UERE values improves, but loss of time increases due to additional detection steps
Solution Approach 1:
The patent applies preliminary action by pre-determining and storing reference positions using high-accuracy position determination systems before actual position measurements are performed. These reference positions are prepared in advance and stored for subsequent comparisons, allowing the system to quickly ascertain UERE values during operation without performing time-consuming reference determinations in real-time.
Data Source
AI summary
Computer-implemented data structure (UERE database) including at least one location-dependent UERE value, the at least one UERE value being ascertained with the aid of a method for ascertaining a location-dependent or time-dependent UERE value based on a measurement of the location accuracy or with the aid of a method for determining a location-dependent or time-dependent UERE value with the aid of a machine learning method.