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

Steredenn Daumont (1) , Daniel Le Guennec (2)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IETR - Institut d'Électronique et des Technologies du numéRique

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 AnalyticalMultiModulus 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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Steredenn Daumont, Daniel Le Guennec. Adaptive Analytical MMA with time-varying MIMO channels and diversity in interception context. DSP 2009, 16th International Conference on Digital Signal Processing, Jul 2009, Santorini, Greece. 6 p. ⟨hal-00396149⟩