期刊文献+

一种改进的声反卷积相关声源定位方法 被引量:5

An improved acoustic deconvolution method for localizing correlated sound sources
原文传递
导出
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。 In aerodynamic noise tests,the performance of sound source localization algorithm determines the accuracy of the localization of aeroacoustic sources.In this paper,D-MACSC(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.
作者 魏龙 秦朝红 任方 张忠 黎敏 刘学 WEI Long;QIN Zhaohong;REN Fang;ZHANG Zhong;LI Min;LIU Xue(Science and Technology on Reliability and Environment Engineering Laboratory,Beijing Institute of Structure and Environment Engineering,Beijing 100076,China;Collaborative Innovation Center of Steel Technology,University of Science and Technology Beijing,Beijing 100083.China;Key Laboratory of Fluid Interaction with Material,Ministry of Education,University of Science and Technology Beijing,Beijing 100083,China;PLA 91550 Unit,Dalian 116023,China)
出处 《航空学报》 EI CAS CSCD 北大核心 2019年第11期93-105,共13页 Acta Aeronautica et Astronautica Sinica
基金 国家自然科学基金(51805036,51575038,61801482)~~
关键词 噪声检测 声源定位 传声器阵列 声反卷积 D-MACS noise measurement sound source localization microphone arrays acoustic deconvolution D-MACS
  • 相关文献

参考文献6

二级参考文献56

  • 1褚志刚,杨洋,倪计民,江洪.波束形成声源识别技术研究进展[J].声学技术,2013,32(5):430-435. 被引量:18
  • 2褚志刚,杨洋.基于非负最小二乘反卷积波束形成的发动机噪声源识别[J].振动与冲击,2013,32(23):75-81. 被引量:17
  • 3邢文训.现代优化计算方法[M].北京:清华大学出版社,2007.
  • 4WILLIAM M Humphreys. Design and use of microphonedirection arrays for aeroacoustic measurement [R]. AIAA 98-0471.
  • 5THOMAS J Mueller. Aeroacoustic measurements[M]. Spring- er, 2002.
  • 6SCHLINKER R H, AMIET R K. Shear layer refrac- tion and scattering of sound[R]. AIAA 1980 -973.
  • 7AMIET R K. Refraction of sound by a shear layer[R]. AIAA77-0054.
  • 8SODERMAN P T, NOBLE S C. A four-element end- fire microphone array for acoustic measure-ments in wind tunnels[R]. NASA-TM-X-62-331, 1974.
  • 9CLIFTON Horne, JULIE A Hayes. Effects of distribu- tion source coherence on the response of phased acoustic arrays[R]. AIAA 2000-1935.
  • 10GROSCHE R H, SCHNERDER G. Wind tunnel exper- iments on airframe noise sources of transport aircraft [R]. AIAA1997-1642.

共引文献64

同被引文献40

引证文献5

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部