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A novel algorithm for wideband acoustic sources localization using multiple spherical arrays

机译:一种使用多个球面阵列的宽带声源定位新算法

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A novel algorithm based on spherical harmonic analysis using multiple spherical arrays 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 transform. Then, the MUSIC algorithm is applied to the spherical components to obtain the angularspectrum. Finally, the angular-spectrum smoothing technique is initially proposed to obtain the accuracy localization for 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 single spherical array and multiple spherical array based on the novel algorithm is carried out to evaluate the validity of our method.
机译:提出了一种基于球谐分析的多重球面阵列定位算法。在新颖的球谐算法中,首先将接收到的麦克风信号用于球傅立叶变换。然后,将MUSIC算法应用于球面分量以获得角谱。最后,最初提出了角度频谱平滑技术来获得宽带源的精确定位。与传统的单球面阵列相反,本文使用的多个球面阵列由给定平面中的几个随机分布的球体组成。麦克风均匀地放置在每个球体上,与通常的单个球体阵列相同。基于该算法对单球面阵列和多球面阵列宽带源定位进行了仿真比较,以评价该方法的有效性。

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