Radio Positioning Network Bias Correction via Surveyed Reference Points
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Solution Overview
Problem
Fixed, timing-based radio positioning systems face inaccuracies due to signal resolution, synchronization issues, reflected signals, noise, and poor geometry, leading to position estimation errors and uncertainties.
Innovation Solution
The system employs bias detection and correction methods by using surveyed positions and velocity estimates to refine range measurements, allowing for the propagation of accurate bias estimates across the network, thereby improving position accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If timing-based radio positioning is used to estimate receiver position, then position estimation capability is provided, but position accuracy deteriorates due to range biases and uncertainties
Solution Approach 1:
The system collects range measurements from multiple receivers at known surveyed positions, computes range biases based on these measurements, and feeds back the computed biases to correct future position estimates. This feedback loop continuously improves positioning accuracy by eliminating systematic errors.
Solution Approach 2:
The system performs preliminary bias detection and correction at surveyed positions before using the positioning system in normal operation. By pre-computing range biases at known locations, the system prepares correction data in advance that can be applied to improve subsequent position estimates.
2Stability of the object's composition
If transmitters are fixed in a network to provide positioning coverage, then network stability is improved, but position accuracy deteriorates due to fixed geometric biases and synchronization errors
Solution Approach 1:
The system computes fixed bias terms for each transmitter based on surveyed positions and uses these bias corrections to compensate for geometric and synchronization errors. The feedback mechanism allows the stable network to maintain accuracy by continuously applying learned corrections.
Solution Approach 2:
The positioning network uses its own surveyed positions to automatically detect and correct its own biases. By utilizing known reference points within the network, the system self-calibrates without requiring external intervention, maintaining both stability and accuracy.
3Measurement precision
If surveyed positions are collected to detect biases, then position accuracy can be improved, but system complexity increases due to bias detection and propagation mechanisms
Solution Approach 1:
The system uses the positioning infrastructure itself to detect biases by collecting measurements at surveyed positions. This self-service approach avoids requiring separate, complex calibration equipment while still achieving bias detection and correction.
Solution Approach 2:
The same positioning infrastructure serves dual purposes: normal position estimation and bias detection. By making the system multi-functional, the patent avoids adding separate complexity for bias detection while still achieving accuracy improvement.
Data Source
AI summary
Systems and methods for estimating error associated with one or more range measurements that are used to estimate the position of a receiver. Estimations of range error may be based on surveyed range errors associated with locations near the position of the receiver. Estimations of range error may alternatively be based on comparisons of actual movement by the receiver to estimated movement between estimates of the receiver's positions.