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在无回声和半回声环境中用于噪声源定位的脱响波束形成算法

R Singh¹, A Mimani¹, R Kumar¹

¹Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.

|April 14, 2025

概括

一种新的脱波束成形 (DBF) 技术通过窗口交叉相关矩阵 (CCM) 来提高噪声源定位的准确性. 这种方法在各种环境中增强成像,在定义的不确定性范围内实现高精度.

科学领域:

声学声学在声学上.
信号处理信号处理
工程工程师工程师工程师

背景情况:

准确地定位噪声源对于现实应用至关重要.
传统的光束成形 (CBF) 难以自我散射和反响,导致局部化错误,特别是在更高的频率.
现有的方法往往无法在复杂的声学环境中提供可靠的源图像.

研究的目的:

为提高噪音源定位准确性提出一个脱波束成形 (DBF) 技术.
为了提高光束成形图在无声和半反响条件下的性能.
为了验证DBF技术在现实世界的噪音源,如家电.

主要方法:

开发了一个脱波束成形 (DBF) 算法,利用交叉相关性矩阵 (CCM) 的窗口.
通过一个试错过程来选CCM,确定了一个最佳的频率依赖的汉宁窗口.
该技术在无声和半反响室中使用扬声器和混合机研磨机进行了测试,并将结果与传统光束成形 (CBF) 进行了比较.

主要成果:

该DBF技术准确地定位了无回声和半反响环境中的噪声源,并且具有不确定性.
由于自我散射和反响,CBF显示了混合机磨床的显著局部错误,特别是在高频率下.
DBF成功地减轻了侧叶形物和提高了源分辨率,特别是当与混合机研磨机的CLEAN-SC解卷相结合时.

结论:

与CBF相比,拟议的DBF方法显著提高了噪声源的定位精度.
频率依赖的CCM窗口对于有效的脱声和准确的源影像是必不可少的.
在具有挑战性的声环境中,DBF为噪声源定位提供了强大的解决方案,甚至在工程应用的无回声室中.

关键词:

交叉相关性矩阵是一个交叉相关性矩阵.交叉光谱光束成型交叉光谱光束成型听力减退听力减退基于交叉关联窗口的反射波束成形.

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