DocumentCode :
2959855
Title :
Blind deconvolution algorithms for MIMO-FIR channels driven by white but fourth-order colored signals
Author :
Kawamoto, Mitsuru ; Inouye, Yujiro ; Liu, Ruey-wen
Author_Institution :
Dept. of Electron. & Control Syst., Shimane Univ., Matsue, Japan
Volume :
2
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
1202
Abstract :
This paper deals with the blind deconvolution problem of MIMO-FIR channels driven by source signals which are temporally second-order uncorrelated but fourth-order correlated and spatially second- and fourth-order uncorrelated. We previously proposed a criterion for solving the blind deconvolution problem. However, we have not yet shown an algorithm to implement our proposed criterion. One of our objectives in the present paper is to propose an iterative algorithm for achieving blind deconvolution by using this criterion. To achieve this, we consider an approach called the non-deflation method. We propose an iterative algorithm based on this method. Moreover, we present a deflation algorithm using this criterion for the blind separation of MIMO constant channels.
Keywords :
MIMO systems; correlation methods; deconvolution; equalisers; iterative methods; telecommunication channels; transient response; MIMO constant channels; MIMO-FIR channels; blind deconvolution algorithms; blind separation; deflation algorithm; equalizer; fourth-order colored signals; fourth-order correlated signals; iterative algorithm; nondeflation method; source signals; spatially fourth-order uncorrelated signals; spatially second-order uncorrelated signals; temporally second-order uncorrelated signals; white signals; Control systems; Deconvolution; Digital communication; Equalizers; Image processing; Iterative algorithms; MIMO; Signal processing algorithms; Speech processing; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.910754
Filename :
910754
Link To Document :
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