UWB Object Detection With Adaptive Confidence Thresholds
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Solution Overview
Problem
UWB communication-based object detection systems face errors due to inconsistencies in determining the actual object position versus the detected area, influenced by varying propagation environments.
Innovation Solution
An electronic device adaptively adjusts a confidence level for determining an object's detectable area by considering propagation environment information, using UWB communication technology, and filters data based on a threshold value to reduce detection errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UWB communication is used to detect object position, then position measurement precision is improved compared to GPS, but detection errors occur due to propagation environment variations
Solution Approach 1:
The patent applies dynamics by making the confidence level threshold adaptive rather than fixed. The threshold dynamically adjusts based on propagation environment characteristics (line-of-sight, non-line-of-sight, urban canyon conditions), allowing the system to optimize detection reliability for each specific environment while maintaining the high precision capability of UWB measurements
Solution Approach 2:
The patent changes the parameter of confidence level threshold based on propagation environment. By identifying environment type and selecting appropriate threshold values, the system adapts its detection criteria to match environmental conditions, resolving the contradiction between maintaining high measurement precision and ensuring detection reliability across varying environments
2Ease of operation
If a fixed confidence level threshold is used for object detection, then the detection process is simple, but detection errors increase in varying propagation environments
Solution Approach 1:
The system performs self-service by automatically identifying the propagation environment type and selecting the appropriate confidence level threshold without requiring manual intervention. The electronic device autonomously adapts its detection parameters based on environmental conditions, maintaining both operational simplicity and detection accuracy
Solution Approach 2:
The confidence level threshold transitions from a static fixed value to a dynamic adaptive parameter that automatically adjusts based on propagation environment identification, resolving the contradiction between operational simplicity and detection accuracy
Data Source
AI summary
An example electronic device may include a wireless communication circuit and a sensor, and at least one processor configured to be adaptively connected to the wireless communication circuit and the sensor. The processor may be configured to obtain data about a detectable area for an object, based on a UWB measurement signal transmitted using the wireless communication circuit, obtain a confidence level for the data about the detectable area, adjust a threshold value of the confidence level according to propagation environment information obtained using the wireless communication circuit, and filter and output the data about the detectable area, based on the adjusted threshold value of the confidence level.