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《Journal of Wuhan University(Natural Science Edition)》 2018-05
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Improved L1-SVD Sound Localization Algorithm in the Spherical Harmonic Domain under Reverberant Environments

SUN Changwei;CHENG Xiefeng;School of Electrical and Electronic Engineering,Bengbu University;School of Electronic Science and Engineering,Nanjing University of Posts and Telecommunications;  
It is well known that the sound localization algorithm based on sparse signal reconstruction theory has poor localization accuracy under reverberant environments due to the effect of multipath distortion.In this paper,we proposed the DPDT-L1 SVD algorithm.This algorithm formulates the sound localization algorithm of L1-SVD in spherical harmonics domain,expands it to the wideband signal processing according to the characteristics of the steering vector and frequency decoupling in the spherical harmonic domain,and then takes advantage of the direct-path dominance test(DPDT)as a pre-processing step to improve the accuracy of localization under reverberation environments.The simulations demonstrate that the localization accuracy and noise robustness of the proposed algorithm are higher than those of DPDT-MUSIC and SS-PIV algorithms in low signal-to-noise ratio(SNR).The simulations and the experiments in a real reverberant room validate the high localization precision and spatial resolution of the proposed algorithm in the presence of reverberation.
【Fund】: 国家自然科学基金面上项目(61271334)资助
【CateGory Index】: TN912.3
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