Title
Blind adaptive equalization of MIMO systems: new recursive algorithms and convergence analysis
Abstract
An adaptive (recursive in time) filtering method is proposed for blind deconvolution of multiple-input multiple-output (MIMO) channels modeled. by an autoregressive moving average (ARMA) process. This method consists of two recursive schemes. The adaptive blind identification algorithm estimates the MIMO system impulse response. These estimates are then used in an adaptive Wiener-type filter to extract the instantaneous mixture of input sources. Such a mixture is further processed by a blind source separation algorithm to obtain the individual sources. Only second-order (SOS) statistics are used, and precise knowledge of the system order is not required as long as it is overmodeled. We also present an algorithm for the case of time-varying parameters. It is proved that the developed algorithms are globally convergent with probability one.
Year
DOI
Venue
2010
10.1109/TCSI.2010.2052486
IEEE Trans. on Circuits and Systems
Keywords
Field
DocType
recursive scheme,developed algorithm,blind adaptive equalization,blind source separation algorithm,new recursive algorithm,instantaneous mixture,adaptive wiener-type filter,mimo system impulse response,adaptive blind identification algorithm,individual source,system order,convergence analysis,blind deconvolution,blind source separation,wiener filter,impulse response,moving average,second order,adaptive filters,algorithm design and analysis,recursive algorithm,blind equalization,mimo,deconvolution,adaptive filtering,filtering,adaptive equalizer,convergence
Wiener filter,Autoregressive–moving-average model,Algorithm design,Blind deconvolution,Control theory,MIMO,Algorithm,Electronic engineering,Adaptive filter,Blind equalization,Blind signal separation,Mathematics
Journal
Volume
Issue
ISSN
57
7
1549-8328
Citations 
PageRank 
References 
6
0.46
23
Authors
3
Name
Order
Citations
PageRank
Miloje S. Radenkovic1389.43
Tamal Bose215627.48
Barathram Ramkumar3435.03