An improved deconvolution beamforming algorithm based on fiber optic microphone array for acoustic imaging

An improved deconvolution beamforming algorithm has been proposed to achieve imaging localization using fiber optic microphone arrays. The method accelerates the solution of the deconvolution approach for the mapping of acoustic sources 2 (DAMAS2) by introducing a fast iterative shrinkage-thresholding algorithm (FISTA), and optimizes the point spread function (PSF) combined with regularized filtering to improve the imaging resolution. Experimental results demonstrate that the method takes only 3.799 seconds for 200 iterations, which can significantly reduce the runtime while improving the imaging resolution.

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Publication Details

Published
2025-05-22
DOI
https://doi.org/10.1117/12.3062965
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
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An improved deconvolution beamforming algorithm based on fiber optic microphone array for acoustic imaging

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Photoacoustic and Ultrasonic Imaging
article

An improved deconvolution beamforming algorithm based on fiber optic microphone array for acoustic imaging

Peng Wu, Yi Huang, Chuanlu Deng, Xiaobei Zhang, Chengyong Hu, Sujuan Huang, Qun Li, Qi Zhang, Jindong Liu, Jian Shao, Tingyun Wang, Yuncai Lu, Yuanhang Ma
article en

Abstract

An improved deconvolution beamforming algorithm has been proposed to achieve imaging localization using fiber optic microphone arrays. The method accelerates the solution of the deconvolution approach for the mapping of acoustic sources 2 (DAMAS2) by introducing a fast iterative shrinkage-thresholding algorithm (FISTA), and optimizes the point spread function (PSF) combined with regularized filtering to improve the imaging resolution. Experimental results demonstrate that the method takes only 3.799 seconds for 200 iterations, which can significantly reduce the runtime while improving the imaging resolution.

Shanghai University (CN)
Affordable and clean energy
Openalex Percentile: Top 89%
Photoacoustic and Ultrasonic Imaging
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