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International Journal of Digital Multimedia Broadcasting
Volume 2010, Article ID 307927, 11 pages
Research Article

An Analytical Multimodulus Algorithm for Blind Demodulation in a Time-Varying MIMO Channel Context

1IPSIS Company, 3 Square du chêne Germain, 35510 Cesson-Sévigné, France
2IETR/Supelec, Campus de Rennes, Avenue de la Boulaie, CS 47601, 35576 Cesson-Sévigné Cedex, France

Received 30 June 2009; Accepted 5 October 2009

Academic Editor: Hongxiang Li

Copyright © 2010 Steredenn Daumont and Daniel Le Guennec. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper addresses the issue of blind multiple-input multiple-output (MIMO) demodulation of communication signals, with time-varying channels and in an interception context. A new adaptive-blind source separation algorithm, which is based on the implementation of the Multimodulus cost function by analytical methods, is proposed. First a batch processing analysis is performed; then an adaptive implementation of the (Analytical Multi-Modulus Algorithm) AMMA and its simplified version named (Analytical Simplified Constant Modulus Algorithm) ASCMA is detailed. These algorithms, named adaptive-AMMA and adaptive-ASCMA, respectively, are compared with the adaptive (Analytical Constant Modulus Algorithm) ACMA and the MMA (Multi-Modulus Algorithm). The adaptive-AMMA and adaptive-ASCMA achieve a lower residual intersymbol interference and bit error rate than those of the adaptive-ACMA and MMA.