MVDR Beamforming for Audio Source Localization
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Solution Overview
Problem
Conventional audio source localization systems face challenges with poor spatial resolution and noise interference, leading to inaccurate estimation of audio source positions due to the use of delay-and-sum beams, which are not suitable for acoustic transmission.
Innovation Solution
The system employs Minimum Variance Distortionless Response (MVDR) beams for both audio source localization and acoustic transmission, using a metric of smallest distortion rather than maximum response power to determine the best beam, providing better spatial resolution and handling noise effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If delay-and-sum beams are used for audio source localization, then the system is simple to implement, but spatial resolution is poor and noise interference is high
Solution Approach 1:
The patent changes the beamforming parameters from conventional delay-and-sum to Minimum Variance Distortionless Response (MVDR) beams. This parameter change transforms the beamforming approach to achieve superior spatial resolution and noise rejection while maintaining systematic implementability through established signal processing frameworks.
Solution Approach 2:
The patent applies local quality by using MVDR beams that provide direction-dependent optimization. Each beam is tailored to minimize variance in specific directions while maintaining distortionless response in the look direction, thereby achieving local optimization of spatial resolution and noise rejection for each beam direction.
2Device complexity
If delay-and-sum beams are used for audio source localization, then the system complexity is low, but noise rejection capability is poor
Solution Approach 1:
The patent changes the beamforming parameters from conventional delay-and-sum to Minimum Variance Distortionless Response (MVDR) beams. This parameter change transforms the beamforming approach to achieve superior spatial resolution and noise rejection while maintaining systematic implementability through established signal processing frameworks.
Solution Approach 2:
The patent converts the harmful effect of noise into a beneficial filtering mechanism. By using MVDR beams that minimize variance in all directions except the look direction, the system transforms noise interference into an opportunity for enhanced signal separation, where noise components are systematically suppressed while desired signals are preserved.
3Measurement precision
If MVDR beams are used for both audio source localization and acoustic transmission, then spatial resolution and noise reduction are improved, but the metric selection becomes more complex
Solution Approach 1:
The patent applies universality by using the same MVDR beamforming approach and distortion metric for both audio source localization and acoustic transmission functions. This multi-functional application simplifies the overall system architecture while achieving high performance in both localization accuracy and transmission quality through a unified beamforming framework.
Solution Approach 2:
The patent changes the evaluation metric from maximum response power to smallest distortion metric. This parameter change in the selection criterion enables the system to achieve better localization accuracy and transmission quality by selecting beams that minimize distortion rather than maximize power, providing a more robust performance metric.
4Ease of operation
If conventional beamforming is used, then the system is easy to operate, but system performance predictability is poor
Solution Approach 1:
The patent changes the beamforming parameters from conventional delay-and-sum to Minimum Variance Distortionless Response (MVDR) beams. This parameter change transforms the beamforming approach to achieve superior spatial resolution and noise rejection while maintaining systematic implementability through established signal processing frameworks.
Solution Approach 2:
The patent implements feedback through the use of distortion metrics that provide systematic evaluation of beam performance. By calculating and comparing distortion levels across different beams, the system establishes a feedback mechanism that enables predictable selection of optimal beams, thereby improving performance predictability while maintaining operational simplicity.
Data Source
AI summary
A system and method for performing audio source localization that uses minimum variance distortionless response (MVDR) beams or other super-directive beams that are more suitable for reducing noise, interference and/or acoustic coupling than the delay-and-sum beams conventionally used in performing audio source localization based on a Steered Response Power (SRP) approach. Since super-directive beams such as MVDR beams do not provide good properties for performing conventional SRP-based audio source localization, an embodiment of the present invention utilizes a different metric than maximum response power in order to determine which of a plurality of beams provides the best response for audio source localization. This metric involves identifying which beam provides the smallest measure of distortion with respect to a reference power or reference response.


