Auditory filter based broadband MUSIC algorithm for sound source localization  

作　　者：LIAO Fengchai LI Peng LIU Wenju 

机构地区：[1]Department of Math and Computer Science,Sanming University Sanming [2]Digital Content Technique and Service Research Center,Institute of Automation, Chinese Academy of Sciences [3]National Key Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences

出　　处：《Chinese Journal of Acoustics》2013年第4期439-453,共15页声学学报（英文版）

基　　金：supported by the National Nature Science Foundation of China(91120303,61273267,90820011);FuJian Nature Science Foundation(2009J01296)

摘　　要：Based on the analysis of the shortcomings of broadband MUSIC algorithm with short-time Fourier transform （SF-MUSIC） for sound source localization, a broadband MUSIC algorithm with auditory filter （AF-MUSIC） was proposed. The proposed algorithm first em- ploys auditory filter bank to decompose the signals received on the microphone array, and then locates the sound source with MUSIC algorithm over every frequency channel. At last, by combining with the subinterval frequency estimation, the final localization result is gained. Evaluations on the proposed algorithm prove that comparing with the SF-MUSIC algorithm, the AF-MUSIC algorithm decreases the average error of the estimation results with 2.5479 de- gree in different source conditions. The accuracy of sound source DOA estimation is enhanced effectively.Based on the analysis of the shortcomings of broadband MUSIC algorithm with short-time Fourier transform （SF-MUSIC） for sound source localization, a broadband MUSIC algorithm with auditory filter （AF-MUSIC） was proposed. The proposed algorithm first em- ploys auditory filter bank to decompose the signals received on the microphone array, and then locates the sound source with MUSIC algorithm over every frequency channel. At last, by combining with the subinterval frequency estimation, the final localization result is gained. Evaluations on the proposed algorithm prove that comparing with the SF-MUSIC algorithm, the AF-MUSIC algorithm decreases the average error of the estimation results with 2.5479 de- gree in different source conditions. The accuracy of sound source DOA estimation is enhanced effectively.

关 键 词：MUSIC SF DOA 

分 类 号：TN912.3[电子电信—通信与信息系统]