Adaptive analytical MMA with time-varying MIMO channels and diversity in interception context

Authors:
Steredenn Daumont;Daniel Le Guennec
Affiliations:
IETR/Supelec, Cesson Sévigné Cedex, France;IETR/Supelec, Cesson Sévigné Cedex, France
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

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Abstract

This paper deals with blind source separation (BSS) with time-varying MIMO (Multiple Input Multiple Output) channels in interception and diversity context (Alamouti code). A new algorithm based on an adaptive Analytical MultiModulus Algorithm (MMA) is proposed and called adaptive-AMMA. An analytical method, which converges quickly, is necessary with time varying channels. Performances obtained with adaptive-AMMA are better than adaptive-ACMA (Analytical Constant Modulus Algorithm) and simple MMA for time-varying channels. In addition, this proposed method has done jointly source separation and carrier phase recovery contrary to the adaptive-ACMA. After separation by BSS, the Alamouti code synchronization is found again and then an exploitation of the Alamouti diversity is proposed to raise sources order indetermination inherent with BSS.