2019•2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)Requires access
Research on High Resolution Algorithm of Sound Source Localization Based on Microphone Array
Chao Liu, Yaohui Lv, Jun Miao, Haonan Shang
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Abstract
Sound source localization is a far-reaching research topic in the field of acoustics. The microphone array system determined according to a certain geometric topology can effectively locate the sound source. The conventional beamforming (CBF) method has low angular resolution and poor sound source localization. This paper uses a microphone linear array and a microphone planar array by studying the multi-signal classification algorithm (MUSIC) to estimate the orientation of the sound source. The algorithm has high resolution which can make up for the defects of conventional beamforming. Based on the performance simulation of MUSIC algorithm of these two formations, it is found that increasing the number of samples and the signal to noise ratio (SNR) can improve the positioning accuracy of the algorithm. The experimental results show that the performance of the MUSIC algorithm based on the microphone planar array is better than that of the linear array, which can accurately estimate the azimuth angle and elevation angle of the sound source.