Wholly Estimating Direction of Arrival of Convolutively Mized Sources Using Independent Component Analysis

摘要：

A class of methods is presented/or wholly estimating direction of arrival (DOA) of convolutively mixed sources in the frequency domain, which is based on independent component analysis (ICA). Convolutive mixtures of multiple sources in the spatio-temporal domain are firstly reduced to instantaneous mixtures by using the well-known shorttime Fourier transformation (STFT) technique. From the time-frequency mixture in each frequency bin,one frequency respond matrix of the mixing system from sources to sensors is identified by some instantaneous ICA algorithms. Furthermore, DOAs of the multiple sources is estimated by using a whole estimating strategy. Consequently, all mixtures in total frequency bins contribute to a final estimation set,in which the source directions are shown as several direction clusters and/or local maxima. Experimental results indicate that the ICA based methods have some advantages over the well-known MUSIC (MUltiple Signal Classification) method not only on estimation precision of multiple source directions,but also on potential applicability under some especial conditions.

关键词： MUSIC (Multiple Signal Classification) independent component analysis (ICA) direction of arrival (DOA) frequency response identification whole estimation strategy.

作者: Weidong Jiao Yongping Chang

作者单位: Department of Mechanical Engineering,Jiaxing University,Jiaxing 314001,China Department of Mechanica Department of Mechanical Engineering,Jiaxing University,Jiaxing 314001,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 1088-1092

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）