Angle-of-Arrival Fusion With Motion Tracking for FoV Detection
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Solution Overview
Problem
Existing electronic devices face inaccuracies in determining the angle of arrival (AoA) and range due to signal corruption, leading to incorrect identification of other devices within or outside their field of view.
Innovation Solution
An electronic device uses a processor to obtain signal and motion information, fusing AoA and range data with motion sensors to accurately determine if a target device is within its field of view, employing tracking filters to correct sporadic errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal-based AoA and range determination is used, then location information can be obtained, but signal corruption causes inaccurate determinations leading to incorrect FoV identification
Solution Approach 1:
The patent combines signal-based location determination with motion-based location determination by fusing data from both sources. The processor integrates AoA/range information from wireless signals with motion information from sensors to produce a more reliable fused decision about target device location relative to the electronic device's field of view.
Solution Approach 2:
Motion information serves as an intermediary to verify and correct signal-based determinations. When signal corruption causes inaccurate AoA or range measurements, the motion-based determination acts as a mediator to identify the correct FoV status, resolving discrepancies caused by signal quality issues.
2Device complexity
If only signal information is used for location determination, then the system remains simple, but sporadic errors occur due to signal corruption
Solution Approach 1:
The patent merges signal-based determination and motion-based determination into a unified system. The processor combines data from both sources using fusion logic, achieving improved reliability through redundancy while maintaining manageable system complexity by integrating both sensors and signal processing in a coordinated manner.
Solution Approach 2:
The system uses feedback from motion sensors to verify and correct signal-based determinations. When sporadic errors occur in signal processing, the motion information provides feedback to identify and correct these errors, improving overall determination reliability without requiring overly complex error correction mechanisms.
3Measurement precision
If motion sensors are integrated with signal processing, then fused decision accuracy improves, but device complexity increases
Solution Approach 1:
The processor is designed to perform multiple functions: it processes wireless signals for AoA and range determination, processes motion sensor data, and fuses both data sources to produce the final FoV determination. This multi-functionality reduces the need for separate dedicated processing units, managing complexity while achieving high fused decision accuracy.
Data Source
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AI summary
A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the signal information, the first location information indicating whether the target device is within a field of view (FoV) of the electronic device. Additionally, the method includes identifying second location information based on the motion information and the signal information, the second location information indicating whether the target device is within the FoV of the electronic device. The method also includes determining that the target device is within the FoV or outside the FoV of the electronic device based on at least one of the first location information or the second location information.