Wideband acoustic source localization using multiple spherical arrays: anangular-spectrum smoothing approach

Fang Zhou Wang, Xi Pan*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

A novel algorithm using multiple spherical arrays based on spherical harmonic analysis is proposed to localize wideband acoustic sources. In the novel spherical harmonic algorithm, the received microphone signals are firstly used to do the spherical Fourier transformation. Then, the multiple signal classification (MUSIC) algorithm is applied to the spherical components to obtain the angular-spectrum. Finally, the angular-spectrum smoothing technique is proposed to obtain the accurate localization of wideband sources. In contrast to the traditional single spherical array, the multiple spherical arrays used in this paper consist of several randomly distributed spheres in a given plane. The microphones are uniformly placed on each sphere, the same as the usual single spherical array. Simulation comparison of wideband sources localization between a single spherical array and multiple spherical arrays based on the novel algorithm is carried out to validate our proposed method.

源语言英语
页(从-至)18-25
页数8
期刊Journal of Beijing Institute of Technology (English Edition)
24
1
DOI
出版状态已出版 - 1 3月 2015

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引用此

Wang, F. Z., & Pan, X. (2015). Wideband acoustic source localization using multiple spherical arrays: anangular-spectrum smoothing approach. Journal of Beijing Institute of Technology (English Edition), 24(1), 18-25. https://doi.org/10.15918/j.jbit1004-0579.201524.0104