Satellite Navigation Error Budgeting for Position Accuracy
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Solution Overview
Problem
Global navigation satellite systems face challenges in accurately estimating position due to environmental interference and atmospheric errors, which current models fail to account for effectively, leading to unreliable measurements.
Innovation Solution
A method that estimates and controls measurement errors by detecting local errors in the receiver environment and satellite-related errors, constructing an error budget, and calculating integrity parameters, using a robust algorithm to ensure reliable position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction models are introduced to account for atmospheric interference, then measurement accuracy is improved, but system complexity increases and environmental factors like multipath effects are not adequately addressed
Solution Approach 1:
The error budget is segmented into distinct components: satellite-related errors (orbit, clock, ephemeris), atmospheric errors (ionospheric, tropospheric), and local errors (multipath, thermal noise, antenna phase center). Each component is estimated and monitored separately, allowing comprehensive error accounting without requiring a single complex correction model
Solution Approach 2:
The system continuously monitors the actual position estimates and compares them against the predicted error budget. When discrepancies are detected, the system can identify and reject incompatible measurements, creating a feedback loop that maintains accuracy without increasing model complexity
2Reliability
If comprehensive error monitoring is implemented to ensure measurement reliability, then position estimation reliability is improved, but computational load and processing time increase
Solution Approach 1:
The system pre-calculates the error budget components (satellite orbit errors, atmospheric delays, local error estimates) before position estimation. This preliminary error characterization allows faster real-time processing since the major error sources are already quantified and do not require complex real-time computation
Solution Approach 2:
The system dynamically adjusts the weightings and thresholds in the error budget based on current signal conditions, satellite geometries, and environmental factors. By changing parameters adaptively rather than using fixed complex models, the system maintains high reliability with optimized computational requirements
Data Source
AI summary
In the field of satellite global navigation, a method is provided for estimating the level of error in global navigation satellite measurements and for ensuring the reliability of these estimations, implemented by a global navigation device in which local errors are detected by said global navigation device and errors associated with the satellites are detected by a ground segment.