Near-Field Source Localization Using Spherical Microphone Arrays

作     者：HUANG Qinghua ZHANG Guangfei LIU Kai 

作者机构：Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2016年第25卷第1期

页      面：159-166页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 0701[理学-数学] 

基　　金：supported by the National Natural Science Foundation of China(No.61001160) Shanghai Natural Science Foundation of China(No.14ZR1415000) Innovation Program of Shanghai Municipal Education Commission of China(No.12YZ023) 

主　　题：Spherical microphone array Source localization Near-field Spherical Fourier transform(SFT) Spherical harmonics 

摘      要：A new method is proposed for joint range and bearing(azimuth and elevation) estimation of multiple near-field acoustic sources using observations collected by a spherical microphone array. First, Spherical Fourier transform(SFT) is used to construct the array signal model in the spherical harmonics domain to decouple range and bearing information. Then the relation among the spherical harmonics of three adjacent degrees is exploited to build the recursive relationship of the signal subspace. Using Eigenvalue decomposition(EVD), bearings are estimated based on the eigenvalues and simultaneously the steering matrix can be represented by the signal ***, range is estimated using the energy ratios of the elements of the steering matrix in the spherical harmonics domain. The algorithm can avoid parameter pairing and multi-dimensional searching. It has lower computational complexity than that of the Multiple signal classification(MUSIC) method. The performance is evaluated by Monte-Carlo simulations and the estimation root meansquare errors are compared to the corresponding CramerRao bounds(CRBs) and those of MUSIC range estimates,which demonstrate the validity of the proposed algorithm.