Robust eigenvector algorithms for blind deconvolution of MIMO linear channels

被引：0
|
作者：
Kawamoto, Mitsuru [1 ]
Kohno, Kiyotaka [2 ]
Inouye, Yujiro [2 ]
机构：
[1] Natl Inst Adv Ind Sci & Technol, Cent 2,1-1-1 Umezona, Tsukuba, Ibaraki 3058568, Japan
[2] Shimane Univ, Matsue, Shimane 690854, Japan
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年
关键词：
eigenvector algorithms; robust eigenvector algorithms; blind deconvolution; MIMO-IIR channels;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper presents eigenvector algorithms (EVAs) for blind deconvolution of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mixtures). One of the attractive features of the proposed EVA is that it is insensitive to Gaussian noises which are added to the outputs of the channels; hence the proposed EVA is referred to as a "robust" eigenvector algorithm (REVA). Simulation results show the validity of the REVA.
引用
收藏
页码：729 / +
页数：2
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