Localization of Sound Sources Based on Spherical Fourier  Transformation in ThreeDimension

The localization’s information of sources is the important factor in reconstructing audio environment. Localization of sources is researched using spherical microphone array (SMA).  For designing of SMA, a novel criterion on equidistance distribution is provided and applied to sound sources’ localization. According to sound’s physical characteristic, Sound pressure is expressed as linear combination of different orders’ spherical harmony, and is transformed in the domain from spacetime to wave numberfrequency by spherical Fourier transformation (SFT). The localization of sources is obtained using the algorithm deduced. The sounds’ pressure on spherical microphone array was recorded by NI instruments and simulated. The experiments demonstrated that the array with equidistance work well for searching location of sound source with small computation making using of spherical harmony’s orthogonality, and the number of microphone is less than other distributions.