A novel approach to localization of environmental noise sources: Sub-windowing for time domain beamforming
A novel approach to localization of environmental noise sources: Sub-windowing for time domain beamforming
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DOI：
10.1016/j.apacoust.2022.108836
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发表时间：
2022-05-23
影响因子：
3.4
通讯作者：
Murovec, J.
中科院分区：
文献类型：
--
作者：
Prezelj, J.;Urovic, L. C.;Murovec, J.
本文在理解声波到达方向（DOA）的计算方面取得了突破，并代表了将空间域进一步引入环境噪声和声学测量的重要一步。与提高波束形成的精度不同，增加时域中的DOA计算的数量并使用环境噪声的统计特性来定位噪声源更有意义。我们从经验中知道，两个噪声源永远不会有相同的频率特性，操作时间和空间位置。这是所提出的研究立足的基础，并与实验验证。192 kHz的高频采样允许时域波束成形的子窗口方法，并将麦克风信号细分为小于1毫秒的时间间隔。这允许在通常使用的时间常数为125 ms的统计分析的注入方向性。在子窗口中的DOA的计算缩短了所需的时间来评估每个噪声源的贡献的总声压级。这导致更多的数据点（输入向量）和更低的统计误差在环境噪声测量。在本文中，我们建议将时间优势方向与子窗口内的时间声压级相关联，并将结果整合以确定注入方向性。数值仿真、实验和实际应用结果表明，该方法具有良好的性能。(c)2022作者由Elsevier Ltd.发布。这是CC BY-NC-ND许可证下的开放获取文章（http：//creativecommons.org/licenses/by-nc-nd/4.0/）。
This article brings a breakthrough in understanding the computation of direction of arrival (DOA) of sound waves and represents an important step in the further introduction of spatial domain into environmental noise and acoustics measurements in general. Instead of improving the accuracy of beamforming, it makes more sense to increase the number of DOA calculations in the time domain and to use the statistical properties of environmental noise to localise the noise sources. We know from experience that two noise sources never have the same frequency characteristics, operating times, and spatial locations. This is the foundation on which the presented research stands and is validated with experiments. The high frequency sampling of 192 kHz allows a subwindow approach to time domain beamforming and the subdivision of microphone signals into time intervals of less than one millisecond. This allows statistical analysis of the immission directivity during the typically used time constant of 125 ms. The calculation of DOA in the subwindows shortens the time needed to evaluate the contribution of each noise source to the total sound pressure level. This leads to more data points (immission vectors) and lower statistical error in environmental noise measurements. In this paper, we propose associating the temporal dominant direction with the temporal sound pressure level within the subwindow and integrating the results to determine the immission directivity. Numerical simulations, experiments and practical application of the sub-windowing differential beamforming algorithm (SubW-DBA) method provided promising results. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).