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

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 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.
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https://hal-supelec.archives-ouvertes.fr/hal-00396149
Contributor : Myriam Andrieux <>
Submitted on : Wednesday, June 17, 2009 - 9:13:40 AM
Last modification on : Friday, November 16, 2018 - 1:30:34 AM

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  • HAL Id : hal-00396149, version 1

Citation

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⟩

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