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High-resolution CLEAN-SC for acoustic source identification with spherical microphone arrays
Shuyi Zhao1, Zhigang Chu1, Yang Yang1
1State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, People's Republic of China20163413037t@cqu.edu.cn, zgchu@cqu.edu.cn, yangyang911127@cqu.edu.cn, yongxingzhang@cqu.edu.cn.
This study enhances acoustic source identification using spherical harmonics beamforming (SHB) and the high-resolution CLEAN-SC (HR-CLEAN-SC) algorithm. Results show improved spatial resolution and accuracy beyond the Rayleigh limit.
Area of Science:
- Acoustics
- Signal Processing
- Array Signal Processing
Background:
- Spherical harmonics beamforming (SHB) with solid spherical microphone arrays enables simultaneous acoustic source identification in all directions.
- Existing methods face limitations in spatial resolution, often bound by the Rayleigh resolution limit.
Purpose of the Study:
- To enhance the spatial resolution and accuracy of acoustic source identification in SHB.
- To adapt and evaluate the high-resolution CLEAN-SC (HR-CLEAN-SC) algorithm for SHB applications.
Main Methods:
- Application of the high-resolution CLEAN-SC (HR-CLEAN-SC) algorithm, originally developed for planar arrays, to spherical harmonics beamforming.
- Validation through both numerical simulations and experimental measurements using spherical microphone arrays.
Main Results:
- The HR-CLEAN-SC algorithm demonstrated a potential resolution enhancement factor of approximately 1.7 compared to the Rayleigh resolution limit.
- Both simulations and experiments confirmed that HR-CLEAN-SC offers superior spatial resolution over the standard CLEAN-SC algorithm.
- Improved accuracy in both the localization and quantification of acoustic sources was observed with HR-CLEAN-SC.
Conclusions:
- The HR-CLEAN-SC algorithm is effectively adapted for spherical harmonics beamforming, significantly improving acoustic source identification capabilities.
- This advancement allows for overcoming the conventional Rayleigh resolution limit, leading to more precise acoustic source analysis.
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