Localizing acoustic sources in non-line-of-sight scenarios using irregular-grid beamforming and first-order edge diffraction

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Qingbo Zhai , Libin Du , Zhaojing Su
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引用次数: 0

Abstract

In this work, an algorithm that combines irregular-grid beamforming with first-order edge diffraction is proposed to localize acoustic sources in non-line-of-sight (NLOS) scenarios. The first-order edge diffraction impulse response is computed using the Biot–Tolstoy-Medwin method, which is then incorporated into the beamforming process to modify the steering vector. To improve performance, irregular grids are used to discretize the acoustic imaging area behind obstacles in the NLOS environment, minimizing main lobe deformation in the beamformer output. Simulation results demonstrate that the irregular-grid beamforming method enables precise acoustic source localization in NLOS environments. Unlike regular-grid beamforming, which exhibits significant main lobe deformation as the source position changes, the main lobe of the irregular-grid method remains nearly unaffected. Additionally, in the acoustic imaging area, the proposed algorithm achieves better resolution parallel to the edge of the obstacle compared to the resolution perpendicular to it. Experimental results confirm the validity of the simulation findings.
利用不规则网格波束形成和一阶边缘衍射在非视距场景中定位声源
本文提出了一种结合不规则网格波束形成和一阶边缘衍射的算法来定位非视距(NLOS)场景下的声源。采用Biot-Tolstoy-Medwin方法计算一阶边缘衍射脉冲响应,然后将其纳入波束形成过程以修改导向矢量。为了提高性能,在NLOS环境中,使用不规则网格对障碍物后的声成像区域进行离散化,最大限度地减少波束形成器输出中的主瓣变形。仿真结果表明,不规则网格波束形成方法能够在近距离观测环境中实现精确的声源定位。与规则网格波束形成不同的是,随着源位置的变化,规则网格波束形成的主瓣会发生明显的变形,而不规则网格波束形成的主瓣几乎不受影响。此外,在声成像区域,与垂直于障碍物边缘的分辨率相比,该算法在平行于障碍物边缘的分辨率更好。实验结果证实了仿真结果的有效性。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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