DocumentCode :
3110649
Title :
Recursive estimator for blind MIMO equalization via BSS and fractional sampling
Author :
Enescu, Mihai ; Zhang, Yinglu ; Kassam, S.A. ; Koivunen, Visa
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Finland
fYear :
2001
fDate :
2001
Firstpage :
94
Lastpage :
97
Abstract :
This paper addresses the problem of blind equalization based on a multi-input multi-output (MIMO) model. Using a more general structure for MIMO channels, we present a method that combines fractional sampling and a blind source separation (BSS) algorithm to recover transmitted symbols in the presence of ISI (intersymbol interference). Oversampling allows for converting the FIR MIMO model to an instantaneous mixing model. The equalization may then be performed via BSS. We propose a recursive estimator stemming from the Kalman filter for this task. The method achieves equalization even in the case of a slowly time-varying channel and in the presence of additive noise. Simulation results are presented illustrating the good performance of the method
Keywords :
Kalman filters; MIMO systems; blind equalisers; intersymbol interference; random noise; recursive estimation; signal sampling; time-varying channels; transient response; BSS algorithm; FIR MIMO model; ISI; Kalman filter; additive noise; blind MIMO equalization; blind source separation; fractional sampling; instantaneous mixing model; intersymbol interference; multi-input multi-output model; recursive estimator; time-varying channel; transmitted symbol recovery; Additive noise; Blind equalizers; Blind source separation; Finite impulse response filter; Intersymbol interference; MIMO; Recursive estimation; Sampling methods; Source separation; Time-varying channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in
Conference_Location :
Taiwan
Print_ISBN :
0-7803-6720-0
Type :
conf
DOI :
10.1109/SPAWC.2001.923852
Filename :
923852
Link To Document :
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