UWB Sensor Localization Error Diagnosis
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Solution Overview
Problem
Current wireless localization systems, particularly those using ultra-wide band (UWB) technology for vehicle localization, face inaccuracies due to sensor errors and inefficiencies in diagnostic protocols, which are not time-efficient or cost-effective.
Innovation Solution
A method and system for diagnosing sensor performance in UWB sensor localization for vehicles, involving the reception of sensor signals from multiple UWB anchors and a tag, alignment of these signals, calculation of a predicted tag location using least squares error, determination of error matrices, and identification of erratic anchors based on error thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor signals from multiple UWB anchors are received and processed for localization, then localization accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by pre-aligning sensor signals at an aligned timestamp before processing. The system synchronizes signals from multiple UWB anchors to a common time reference point, and pre-calculates expected signal characteristics. This preliminary synchronization and alignment reduces the computational burden during actual localization processing, as the data is already organized and time-aligned, eliminating the need for complex real-time synchronization calculations.
2Reliability
If diagnostic protocols are implemented to identify sensor errors, then reliability is improved, but processing time increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the quality metrics of sensor signals from UWB anchors and using this information to dynamically adjust processing. The system calculates confidence scores based on signal strength, timestamp alignment, and error patterns, then uses this feedback to identify unreliable anchors and exclude them from localization calculations. This automated feedback loop improves reliability by detecting sensor errors while minimizing processing time through intelligent filtering rather than exhaustive diagnostic protocols.
3Measurement precision
If error threshold comparisons are performed for each anchor, then measurement precision is improved, but computational cost increases
Solution Approach 1:
The patent applies local quality by implementing error threshold comparisons selectively rather than uniformly across all anchors. The system evaluates signal characteristics and error patterns for each individual anchor, applying appropriate threshold criteria based on local signal quality conditions. Anchors with strong, consistent signals use relaxed thresholds, while anchors showing error patterns undergo more stringent evaluation. This localized approach maintains high measurement precision for error detection while reducing overall computational cost by avoiding unnecessary rigorous checking of all anchors.
Data Source
AI summary
Systems and methods of diagnosing sensor performance of an ultra wide band (UWB) sensor localization for a vehicle are provided. The method comprises receiving sensor signals from at least four UWB anchors and a UWB tag for a time period. The sensor signals represent anchor coordinates and real-time distances between the tag and each anchor. The method comprises aligning the sensor signals to define aligned data. The method comprises calculating a predicted location of the UWB tag based on the aligned data and a least square of error to define a first constructed matrix and a second constructed matrix. The method comprises determining a local error of each of the at least four UWB anchors based on the least square of error and comparing each local error with an error threshold to define a first threshold high. The method comprises determining an erratic anchor based on the first threshold high.