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Related Experiment Video

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Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

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Iterative Vandermonde decomposition and shrinkage-thresholding based two-dimensional grid-free compressive

Yanli Liu¹, Zhigang Chu¹, Yang Yang¹

¹School of Automotive Engineering, Chongqing University, Chongqing 400044, People's Republic of Chinalyanli@cqu.edu.cn, zgchu@cqu.edu.cn, yangyang911127@cqu.edu.cn.

The Journal of the Acoustical Society of America

|October 2, 2020

Summary

This study introduces a novel 2D grid-free compressive beamforming method for acoustic source localization. The new approach accurately estimates source direction and strength without needing a prior noise parameter.

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Area of Science:

Acoustics
Signal Processing
Array Signal Processing

Background:

Two-dimensional grid-free compressive beamforming using planar microphone arrays is explored for acoustic source localization.
Existing methods often require accurate estimation of a prior noise parameter, which is difficult in practice.

Purpose of the Study:

To develop a novel 2D grid-free compressive beamforming method that eliminates the need for a prior noise parameter.
To improve the accuracy of direction-of-arrival (DOA) estimation and source strength quantification.

Main Methods:

An iterative Vandermonde decomposition and shrinkage-thresholding based approach is proposed.
This method is applied to a 2D grid-free compressive beamforming framework with a planar microphone array.

Main Results:

The proposed method achieves equivalent DOA estimation accuracy compared to existing methods with accurate noise estimation.
The new technique demonstrates superior source strength quantification accuracy.

Conclusions:

The iterative Vandermonde decomposition and shrinkage-thresholding method effectively addresses the limitations of prior noise parameter estimation in 2D beamforming.
This advancement offers a more robust and accurate solution for acoustic source localization and strength assessment.