Mobile Beamformer Adaptation Using Motion Sensor Feedback
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Solution Overview
Problem
Mobile devices face challenges in accurately steering beamformers due to their inherent mobility, which affects the suppression of interfering audio signals as the device is moved, leading to suboptimal audio signal processing.
Innovation Solution
Implementing motion sensors such as gyroscopes and accelerometers to provide real-time motion data to the beamformer, allowing it to adapt and adjust its coefficients to maintain focus on primary audio signals even when the device is moved, thereby enhancing the suppression of interfering signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a beamformer is used to suppress interfering audio signals, then the quality of primary audio signals is improved, but the beamformer cannot accurately track primary signals when the mobile device is moved
Solution Approach 1:
The system uses motion sensors to detect device movement and feeds this information back to the beamformer, which then adjusts its coefficients accordingly. This feedback loop enables the beamformer to compensate for device motion and maintain accurate tracking of primary audio signals despite the device being moved.
Solution Approach 2:
Motion sensors act as an intermediary between the physical movement of the device and the beamformer's signal processing. The sensors detect device motion and translate it into coefficient adjustments, mediating the effect of device movement on beamforming performance.
2Measurement precision
If motion sensors are added to track device movement, then beamformer accuracy is improved, but device complexity increases
Solution Approach 1:
The motion sensors serve multiple functions: they track device movement for beamformer adjustment, and can potentially be used for other device functions such as screen orientation, step counting, or gesture recognition. This multi-functionality justifies the added complexity by providing multiple benefits from a single component addition.
Data Source
AI summary
Mobile device, method and computer program product for processing signals at the mobile device. The signals are received at a plurality of signal sensors of the mobile device. Motion of the mobile device is sensed and the received signals are processed using beamforming means at the mobile device, in dependence upon their direction of arrival at the plurality of signal sensors and in dependence upon the sensed motion of the mobile device.