Adaptive Beamforming Using Distance-Based Weighting
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Solution Overview
Problem
Conventional beamforming techniques in electronic devices are limited by their reliance on linear filters, which are affected by the location and direction of the voice signal, leading to suboptimal performance in selecting desired sound sources amidst ambient noise during phone calls, voice recordings, and video recordings.
Innovation Solution
The method involves selecting an object for beamforming using image sensors, measuring distances between the object and microphones, and determining weights for sound beamforming using time delay or phase delay, allowing for adaptive beamforming techniques like Generalized Side-lobe Canceller (GSC) and Linearly Constrained Minimum Variance (LCMV) to enhance sound signal acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional linear filter beamforming is used, then the system is simple and easy to implement, but the performance is affected by the location and direction of the voice signal
Solution Approach 1:
The patent applies dynamics by transitioning from static linear filters to adaptive beamforming algorithms that dynamically adjust their parameters based on the location and direction of voice signals. The system uses algorithms like MVDR (Minimum Variance Distortionless Response) and GS (Generalized Sidelobe Canceller) that adaptively modify beamforming weights in response to changing acoustic environments and signal characteristics, thereby maintaining high performance across varying conditions while remaining implementable through standardized processing pipelines.
2Reliability
If adaptive beamforming algorithms are used to improve sound source selection, then the Signal to Noise Ratio is improved, but the device complexity increases
Solution Approach 1:
The patent applies parameter changes by modifying beamforming weights and algorithm parameters based on detected voice signal characteristics. The system adjusts parameters such as beam direction, beam width, and weight distribution in response to changes in signal location, direction, and environmental conditions. This adaptive parameter adjustment enables the system to maintain optimal signal-to-noise ratio while managing complexity through systematic parameter modification rather than requiring entirely new processing architectures.
Data Source
AI summary
A beamforming method and apparatus for acquiring a sound signal in an electronic device includes selecting at least one object for beamforming to acquire a sound, measuring a first distance between the at least one object selected and a sensor for distance measurement, calculating a second distance between the at least one object and a plurality of microphones based on the first distance, and determining a weight for sound beamforming using at least one of time delay and phase delay corresponding to the second distance between the object and the microphone.