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

页码：729 / +

页数：2

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