UWB Sensor Error Correction via Multivariate Model
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Solution Overview
Problem
Existing UWB-based indoor localization systems suffer from environment-specific errors due to differences in reflection and propagation, leading to inaccurate object location determination.
Innovation Solution
A processor-implemented method and system that corrects the determined location of an object by calculating a moving average and applying a multivariate model, which includes computing an error function, determining the argument of the minimum, and applying bias, scale factor, and interaxial factor values based on the error function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UWB-based localization is used for indoor tracking, then real-time location tracking capability is achieved, but measurement precision deteriorates due to environment-specific errors from reflection and propagation differences
Solution Approach 1:
The patent applies feedback by using ground truth location data to compute error functions and determine correction parameters (bias, scale factor, interaxial factor). These parameters are then fed back into the localization system to correct the determined locations, creating a closed-loop correction mechanism that continuously improves measurement precision while maintaining real-time tracking capability
Solution Approach 2:
The patent changes parameters by introducing correction parameters (bias, scale factor, interaxial factor) that are computed based on error functions. These parameters are applied to transform the determined locations into corrected locations, effectively adjusting the measurement parameters to compensate for environmental errors while preserving the real-time tracking functionality
2Measurement precision
If location correction using multivariate model is applied, then measurement precision is improved, but device complexity increases due to additional computational steps
Solution Approach 1:
The patent applies preliminary action by pre-computing correction parameters (bias, scale factor, interaxial factor) based on ground truth data and error functions. These pre-computed parameters are then applied to correct future location measurements, reducing the computational complexity during real-time tracking while maintaining improved measurement precision
Solution Approach 2:
The patent simplifies the correction process by changing from complex multivariate modeling to parameter-based transformation. The correction is achieved through applying pre-computed parameters (bias, scale factor, interaxial factor) to the determined locations, which reduces computational complexity during execution while maintaining the precision benefits
Data Source
AI summary
Ultra Wide Band (UWB) based Real Time Location Systems (RTLS) that are being used for location tracking suffer from environment specific errors that are introduced due to factors such as difference in reflection and propagation. In order to address this challenge, present invention discloses performing error modelling for object localization using Ultra Wide Band (UWB) sensors. The error modelling allows to correct a determined location of an object being tracked, to determine a corrected location. Based on an obtained distance value of a tag node with reference to position of a plurality of anchor nodes, location of an object in a 2-Dimensional space is determined. The determined location is corrected to obtain the corrected location, and in this process the error modelling and related error correction is done.