UWB Angle-of-Arrival Tracking for Accurate Field-of-View Detection
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Solution Overview
Problem
Electronic devices struggle with inaccurate angle of arrival (AoA) and range determinations due to signal corruption, leading to incorrect assessments of whether another device is within its field of view, which affects user experience in peer-to-peer data sharing scenarios.
Innovation Solution
Implementing systems and methods for post-processing UWB signals to improve measurement quality, including initial prediction based on received range and AoA information, smoothing measurements, and final FoV classification with confidence levels, while detecting sudden device motion to reset tracking filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If signal transmission is performed in complex environments, then communication coverage is improved, but measurement precision of AoA and range deteriorates due to signal corruption
Solution Approach 1:
The system performs preliminary classification of signal paths (direct path vs. reflected path) before final AoA and range calculations. By预先 identifying the direct path signal using channel impulse response analysis and signal strength comparison, the system prepares clean measurement data before computation, preventing corruption from reflected signals
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes channel impulse response characteristics and signal strength ratios to identify and isolate direct path signals. This intermediary analysis acts as a filter between raw signal reception and final AoA/range determination, eliminating the harmful effect of signal corruption
2Measurement precision
If post-processing operations are added to improve measurement accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system applies post-processing operations selectively based on environmental conditions and signal quality assessments. Rather than always performing full classification and smoothing operations, the system adjusts the level of processing applied, reducing complexity when conditions permit while maintaining accuracy when needed
Solution Approach 2:
The system uses its own received signal strength and channel characteristics to automatically determine the appropriate level of post-processing required. The device self-adjusts its processing complexity based on real-time signal quality metrics, eliminating the need for external control or manual configuration
Data Source
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AI summary
A method includes obtaining channel information, range information, and angle of arrival (AoA) information based on wireless signals communicated between an electronic device and an external electronic device. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device based on the channel information and at least one of the range information or the AoA information. The initial prediction includes an indication of whether the external electronic device is within the FoV or outside the FoV of the electronic device. The method further includes performing, using a tracking filter, a smoothing operation on the range information and the AoA information. Additionally, the method includes determining that the external electronic device is within the FoV of the electronic device based on the AoA information, the smoothed AoA information, and the initial prediction.