UWB Localization via Adaptive CIR Analysis
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Solution Overview
Problem
Existing localization systems for external objects, such as key fobs or mobile devices used for vehicle access, face challenges in maintaining robustness across varying environments, leading to inconsistent performance.
Innovation Solution
A system utilizing ultra-wideband (UWB) communication nodes and a controller that analyzes channel impulse response (CIR) estimates and parameters to select an appropriate localization process, potentially using machine learning algorithms trained on environmental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed localization algorithm is used, then the system is simple to implement, but the localization performance becomes inconsistent across varying environments
Solution Approach 1:
The system dynamically selects localization algorithms based on environmental conditions detected through CIR analysis. Instead of using a fixed algorithm, the system adapts its localization approach by choosing from multiple algorithms (e.g., ToF, AoA, fingerprinting) depending on the current environment characteristics, thereby maintaining consistent performance across varying conditions.
Solution Approach 2:
The system changes operational parameters by selecting different localization algorithms based on analyzed CIR parameters such as multipath components, signal strength, and environmental fingerprints. This parameter adaptation allows the system to optimize localization performance for specific environmental conditions while managing complexity through structured selection criteria.
2Measurement precision
If multiple localization algorithms are always executed, then the localization accuracy improves, but the power consumption increases
Solution Approach 1:
The system performs partial execution of multiple localization algorithms by first analyzing CIR parameters and then selectively executing only the most suitable algorithm for the current environment. This partial action approach avoids the excessive power consumption of always running all algorithms while still achieving high localization accuracy through targeted algorithm selection.
Solution Approach 2:
The system uses its own CIR measurements to automatically determine which localization algorithm to execute. By self-evaluating environmental conditions through CIR analysis and autonomously selecting the appropriate algorithm, the system optimizes power consumption without external intervention while maintaining high localization precision.
3Reliability
If environment-specific localization algorithms are used, then the localization robustness improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary CIR analysis and environment characterization before executing the localization algorithm. By pre-analyzing environmental parameters from CIR measurements and pre-determining the most suitable algorithm based on these characteristics, the system achieves environment-specific optimization without adding significant operational complexity during the actual localization process.
Data Source
AI summary
In accordance with a first aspect of the present disclosure, a system is provided for facilitating localizing an external object, the system comprising: a plurality of ultra-wideband (UWB) communication nodes; a controller operatively coupled to said plurality of UWB communication nodes, wherein the controller is configured to: cause at least one of the UWB communication nodes to transmit one or more UWB messages to other UWB communication nodes of said plurality of UWB communication nodes; receive a channel impulse response (CIR) estimate and/or one or more parameters relating to said CIR output by the UWB communication nodes in response to receiving said UWB messages; analyze said CIR estimate and/or said parameters relating to the CIR; select a localization process in dependence on a result of analyzing said CIR estimate and/or said parameters relating to the CIR. In accordance with further aspects of the present disclosure, a corresponding method is conceived, and a computer program for carrying out said method is provided.