Non-line-of-sight sound source localization based on block sparse Bayesian learning and second-order edge diffraction

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2024-10-30 DOI:10.1016/j.apacoust.2024.110369

Qingbo Zhai , Fangli Ning , Juan Wei , Zhaojing Su

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引用次数: 0

Abstract

For environments where the sound source is located directly behind an obstacle, this work proposes a non-line-of-sight sound source localization algorithm based on fast marginalized block sparse Bayesian learning (BSBL-FM) and second-order edge diffraction. The second-order edge diffraction transfer function is calculated using the Biot-Tolstoy-Medwin method and used to construct the sensing matrix. By leveraging the spatial sparsity of the sound source signal, a block sparse measurement model is formulated, and BSBL-FM is applied for sparse reconstruction to achieve high-resolution localization. Simulation results demonstrate that the proposed algorithm accurately locates the source position and identifies the source strength, providing higher spatial resolution than beamforming and more precise source strength identification than matched-field processing (MFP). Experimental results validate the simulation findings and further show that the proposed algorithm achieves smaller localization errors than both beamforming and MFP.

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基于块稀疏贝叶斯学习和二阶边缘衍射的非视距声源定位

针对声源位于障碍物正后方的环境，本研究提出了一种基于快速边际块稀疏贝叶斯学习（BSBL-FM）和二阶边缘衍射的非视距声源定位算法。使用 Biot-Tolstoy-Medwin 方法计算二阶边缘衍射传递函数，并利用该函数构建传感矩阵。利用声源信号的空间稀疏性，制定了块稀疏测量模型，并应用 BSBL-FM 进行稀疏重建，从而实现高分辨率定位。仿真结果表明，所提出的算法能准确定位声源位置并识别声源强度，比波束成形算法提供更高的空间分辨率，比匹配场处理算法（MFP）提供更精确的声源强度识别。实验结果验证了仿真结果，并进一步表明，与波束成形和匹配场处理相比，所提算法的定位误差更小。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.