一种改进的声反卷积相关声源定位方法

doi:10.7527/S1000-6893.2019.23100

Abstract

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

CLC Number:

V216.5⁺4

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.

References 32

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An improved acoustic deconvolution method for localizing correlated sound sources

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