UWB Localization Antenna Selection for Accuracy and Power
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Solution Overview
Problem
Ultra-wideband (UWB) localization systems face challenges in achieving accurate ranging and localization performance, especially in environments with multipath propagation and antenna detuning, due to the influence of human bodies and arbitrary tag orientations, which results in significant variance in distance estimates and increased power consumption.
Innovation Solution
A localization system with an antenna selection unit that chooses a subset of antennas for ranging operations based on previous ranging operations, using position estimates, channel quality indicators, or machine learning algorithms to select the most accurate antennas, reducing power consumption and airtime while maintaining high localization accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all antennas are used for ranging operations, then localization accuracy is improved, but power consumption increases
Solution Approach 1:
The system segments the antenna array into multiple subsets and selectively activates only the necessary subset for each ranging operation based on previous operation results, rather than using all antennas simultaneously. This segmentation approach maintains localization accuracy while reducing the number of active antennas to lower power consumption.
Solution Approach 2:
The antenna subset selection is dynamically adjusted based on previous ranging operation outcomes, position estimates, and channel quality indicators. The system adapts the configuration of active antennas in real-time according to environmental conditions and operational needs, optimizing the balance between accuracy and power consumption.
2Measurement precision
If multiple antennas are used for ranging operations, then ranging accuracy is improved, but airtime increases
Solution Approach 1:
The system extracts and uses only the essential subset of antennas required for accurate ranging operations, removing unnecessary antennas from active participation. This reduction in the number of active antennas decreases the total airtime required while preserving ranging accuracy through intelligent selection of the most effective antenna subset.
Solution Approach 2:
The system applies partial action by using only a subset of available antennas rather than all antennas, achieving sufficient ranging accuracy with reduced resource utilization. This partial engagement of antenna resources optimizes the trade-off between accuracy and airtime consumption.
3Measurement precision
If antenna selection is based on previous ranging operations, then localization accuracy is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary analysis of previous ranging operation results, position estimates, and channel quality indicators to pre-determine the optimal antenna subset before executing the current ranging operation. This preliminary preparation enables accurate antenna selection without requiring complex real-time decision-making during the actual ranging process.
Solution Approach 2:
The system implements a feedback mechanism where previous ranging operation outcomes are fed back into the antenna selection process. This feedback loop allows the system to learn from past performance and continuously optimize antenna subset selection, improving localization accuracy while managing complexity through iterative refinement rather than complex algorithms.
Data Source
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AI summary
In accordance with a first aspect of the present disclosure, a localization system is provided, comprising: a plurality of ultra-wideband (UWB) communication nodes; a plurality of antennas, each one of said antennas being included in one of said UWB communication nodes; an antenna selection unit configured to select a subset of said antennas for use in ranging operations that output a position estimate of an external device; wherein the antenna selection unit is configured to select said subset in dependence on at least one previous ranging operation. In accordance with a second aspect of the present disclosure, a corresponding method of operating a localization system is conceived. In accordance with a third aspect of the present disclosure, a computer program is provided, comprising computer-executable instructions that, when executed by a localization system, cause said localization system to carry out a method of the kind set forth.