A clustering technique for blind equalization of MIMO frequency selective channels
Konferenz: European Wireless 2011 - Sustainable Wireless Technologies
27.04.2011 - 29.04.2011 in Vienna, Austria
Tagungsband: European Wireless 2011
Seiten: 5Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Ammari, Mohamed L.; Belkacem, Oussama B. (6'Tel Unit, School of Communications of Tunis, 7th November University at Carthage, Tunis, Tunisia)
In this paper, we propose a blind equalizer for the MIMO frequency selective channels. The proposed equalizer, called the Least Mean Squares soft decision-directed equalizer, consists of a blind clustering algorithm piloted by the soft decisions at its output. The equalizer taps are updated by maximizing the a posteriori probability density function of the equalized signal. The performances of the proposed equalizer are compared to those of the modified Constant Modulus algorithm and to those of the dual-mode modified Constant Modulus algorithm MCMA+DD-MIMO. Simulation results show that the proposed equalizer has a lower residual MSE than the other simulated algorithms.