Azimuth estimation of distributed spherical arrays based on sound pressure coefficient transformation
A azimuth estimation algorithm for distributed spherical microphone array based on sound pressure coefficient transformation is proposed,which is suitable for estimating the low-frequency sound source azimuth but the array layout space is limited.Since a single spherical microphone array can use its spherical harmonic function orthogonality to abtain high resolution azimuth performance,the algorithm uses addition theorem to transform the spherical acoustic pressure coefficients of each subarray of the distributed spherical array to the origin of coordinates.In order to avoid the influence of the Bessel function of zero,coefficients of each sub-spheres after transformation are weighted.Finally,orthogonality is used to estimate the sound source orientation.The simulation results show that the proposed algorithm can effectively improve the azimuth resolution of low frequency signals.Also,it has engineering application value.
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