A clustering technique for blind equalization of MIMO frequency selective channels
Conference: European Wireless 2011 - Sustainable Wireless Technologies
04/27/2011 - 04/29/2011 at Vienna, Austria
Proceedings: European Wireless 2011
Pages: 5Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
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.