一种改进的声反卷积相关声源定位方法

doi:10.7527/S1000-6893.2019.23100

流体力学与飞行力学

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一种改进的声反卷积相关声源定位方法

魏龙¹, 秦朝红¹, 任方¹, 张忠¹, 黎敏^2,3, 刘学⁴

1. 北京强度环境研究所可靠性与环境工程技术重点实验室, 北京 100076;
2. 北京科技大学钢铁共性技术协同创新中心, 北京 100083;
3. 北京科技大学流体与材料相互作用教育部重点实验室, 北京 100083;
4. 中国人民解放军91550部队, 大连 116023

收稿日期:2019-04-19 修回日期:2019-06-24 出版日期:2019-12-03 发布日期:2019-07-15
通讯作者: 魏龙 E-mail:number5wei@126.com
基金资助:
国家自然科学基金（51805036，51575038，61801482）

An improved acoustic deconvolution method for localizing correlated sound sources

WEI Long¹, QIN Zhaohong¹, REN Fang¹, ZHANG Zhong¹, LI Min^2,3, LIU Xue⁴

1. Science and Technology on Reliability and Environment Engineering Laboratory, Beijing Institute of Structure and Environment Engineering, Beijing 100076, China;
2. Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China;
3. Key Laboratory of Fluid Interaction with Material, Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China;
4. PLA 91550 Unit, Dalian 116023, China

Received:2019-04-19 Revised:2019-06-24 Online:2019-12-03 Published:2019-07-15
Supported by:
National Natural Science Foundation of China (51805036,51575038,61801482)

摘要/Abstract

摘要： 基于传声器阵列的声源定位算法的性能优劣决定了气动噪声试验检测中气动噪声源定位成像的准确性。为了提高相关声源定位方法的稳健性和准确性，提出一种改进的声反卷积相关声源定位方法——D-MACS（Developed-Mapping of Acoustic Correlated Sources）方法。该方法的特点是：在传统MACS方法的基础上，将声反卷积模型进行改进，使模型体现出声场空间扫描点声压互谱矩阵与互谱波束形成输出矩阵之间的数学关系，其最终获得的声源定位结果，能够提高MACS方法声源定位辨识的稳健性和准确性。通过仿真信号研究和声学风洞环境中的声源定位试验研究，比较了DAS（Delay And Sum beamformming）、DAMAS-C（Deconvolution Approach for the Mapping of Acoustic Correlated Sources）、MACS和D-MACS这4种方法的声源定位性能，验证了D-MACS方法在声源定位性能上的优势。

关键词: 噪声检测, 声源定位, 传声器阵列, 声反卷积, D-MACS

Abstract: In aerodynamic noise tests, the performance of sound source localization algorithm determines the accuracy of the localization of aeroacoustic sources. In this paper, D-MACS(Developed-Mapping of Acoustic Correlated Sources), an improved acoustic deconvolution method for the localization of the correlated sound sources, is proposed to enhance the robustness and accuracy when localizing the acoustic correlated sources. The characteristics of this new method are as follows. Base on the traditional MACS algorithm, the acoustic deconvolution model is adapted, forming a mathematical relationship between the cross-spectrum beamforming matrix and the covariance matrix of sound pressure at the observation points. And the sound source localization result obtained by this proposed method can increase the robustness and accuracy of the MACS method. Using the simulated sound source signals and that of the experimental data obtained in an acoustic wind tunnel, four methods including DAS(Delay And Sum beamformming),DAMAS-C(Deconvolution Approach for the Mapping of Acoustic Correlated Sources), MACS and D-MACS are compared in terms of their ability to localize the sound sources, verifying the superiority of D-MACS in sound source localization.

Key words: noise measurement, sound source localization, microphone arrays, acoustic deconvolution, D-MACS

中图分类号:

V216.5⁺4

魏龙, 秦朝红, 任方, 张忠, 黎敏, 刘学. 一种改进的声反卷积相关声源定位方法[J]. 航空学报, 2019, 40(11): 123100-123100.

WEI Long, QIN Zhaohong, REN Fang, ZHANG Zhong, LI Min, LIU Xue. An improved acoustic deconvolution method for localizing correlated sound sources[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(11): 123100-123100.

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

一种改进的声反卷积相关声源定位方法

An improved acoustic deconvolution method for localizing correlated sound sources

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