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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.
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. carried out to validate our proposed method.