Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366783
