Robust Eigenvector Algorithms for Blind Deconvolution of MIMO Linear Channels

Author

Kawamoto, Masashi ; Kohno, Kenta ; Inouye, Y.

Author_Institution

Nat. Inst. of Adv. Ind. Sci. & Technol., Ibaraki, Japan

Volume

3

fYear

2007

fDate

15-20 April 2007

Abstract

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.

Keywords

Gaussian noise; MIMO communication; deconvolution; eigenvalues and eigenfunctions; wireless channels; Gaussian noises; MIMO linear channels; MIMO-IIR channels; blind deconvolution; convolutive mixtures; multiple-input multiple-output infinite impulse response; robust eigenvector algorithms; Blind equalizers; Deconvolution; Gaussian noise; Interconnected systems; MIMO; Noise robustness; Proposals; Signal processing; Source separation; Transfer functions; Blind deconvolution; Eigenvector algorithms; Gaussian noise; MIMO-IIR channels; Robust eigenvector algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366783

Filename

4217813