Source localization with minimum variance distortionless response for spherical microphone arrays |
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Authors: | HUANG Qing-hua ZHONG Qiang ZHUANG Qi-lei |
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Institution: | Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China |
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Abstract: | To improve localization accuracy, the spherical microphone arrays are used to capture high-order wavefield information. For
the far field sound sources, the array signal model is constructed based on plane wave decomposition. The spatial spectrum
function is calculated by minimum variance distortionless response (MVDR) to scan the three-dimensional space. The peak values
of the spectrum function correspond to the directions of multiple sound sources. A diagonal loading method is adopted to solve
the ill-conditioned cross spectrum matrix of the received signals. The loading level depends on the alleviation of the ill-condition
of the matrix and the accuracy of the inverse calculation. Compared with plane wave decomposition method, our proposed localization
algorithm can acquire high spatial resolution and better estimation for multiple sound source directions, especially in low
signal to noise ratio (SNR). |
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Keywords: | source localization spherical microphone arrays minimum variance distortionless response (MVDR) plane wave decomposition |
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