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阵元非均匀高斯白噪声背景下的近场声源定位研究
引用本文:刘先省,吴振辉,胡振涛,金勇.阵元非均匀高斯白噪声背景下的近场声源定位研究[J].河南大学学报(自然科学版),2012(5):626-630.
作者姓名:刘先省  吴振辉  胡振涛  金勇
作者单位:河南大学图像处理与模式识别研究所
基金项目:国家自然科学基金项目(60972119);河南省高校青年骨干教师项目(2010GGJS-041);河南大学自然科学基金(2010YBZR045)
摘    要:为解决非均匀高斯白噪声背景下常规近场声源定位算法精度低的问题,提出一种基于噪声协方差矩阵估计的近场声源定位,预白化MUSIC算法,该方法首先从阵列输出数据中估计出噪声协方差矩阵,再利用估计出的噪声协方差矩阵预白化阵列协方差矩阵,从而提高常规算法的估计性能.仿真结果表明,在非均匀高斯白噪声背景下的近场声源定位中,预白化MUSIC算法定位性能高于常规MUSIC和Capon算法的估计性能.

关 键 词:声源定位  MUSIC算法  近场源  非均匀噪声

Localization of Near-Field Sources in the Presence of Nonuniform Sensor Noise
LIU Xian-xing,WU Zhen-hui,HU Zhen-tao,JIN Yong.Localization of Near-Field Sources in the Presence of Nonuniform Sensor Noise[J].Journal of Henan University(Natural Science),2012(5):626-630.
Authors:LIU Xian-xing  WU Zhen-hui  HU Zhen-tao  JIN Yong
Institution:(Institute of Image Processing and Pattern Recognition,Henan University,Henan Kaifeng 475004,China)
Abstract:A novel method based on the estimation of noise-covariance matrix is proposed to solve the problem of the low precision of conventional near-field sources localization algorithms in the presence of non-uniform sensor noise.Firstly,the estimated noise-covariance matrix is derived from the data of array outputs.Next,the received data for parameter estimation is pre-whitened by using the estimated noise covariance matrix.Hence,the highly biased estimation caused by non-uniform sensor noise is revised;the performance of conventional localization algorithms is improved.Furthermore,computer simulations show that the performance of the presented method in this paper is higher than that of conventional MUSIC and Capon methods.
Keywords:sound localization  MUSIC algorithm  near-field sources  non-uniform noise
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