UO - Université d'Orléans : EA 4229 (Château de la Source - Avenue du Parc Floral - BP 6749 - 45067 Orléans cedex 2 - France)
Abstract : The issue of blind Multiple-Input and Multiple-Output (MIMO)
deconvolution of communication system is addressed. Two new
iterative Blind Source Separation (BSS) algorithms are presented
based on the minimization of Multi-Modulus (MM) criterion. A
pre-whitening filter is utilized to transform the problem in finding
a unitary beamformer matrix. Then applying iterative Givens and
Hyperbolic rotations results in Givens Multi-modulus Algorithm
(G-MMA) and Hyperbolic G-MMA (HG-MMA), respectively. Proposed
algorithms are compared with several BSS algorithms in
terms of Signal to Interference and Noise Ratio (SINR) and Symbol
Error Rate (SER) and it was shown to outperform them.
https://hal.inria.fr/hal-01103506
Contributeur : Karim Abed-Meraim
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Soumis le : mercredi 14 janvier 2015 - 18:31:44
Dernière modification le : lundi 16 juillet 2018 - 16:01:11
Syed Awais W. Shah, Karim. Abed-Meraim, Tareq Y. Al-Naffouri. Multi-Modulus algorithms using Givens rotations for blind deconvolution of MIMO systems. ICASSP, Apr 2015, Brisbane, Australia. 〈hal-01103506〉
