Multi-Modulus algorithms using Givens rotations for blind deconvolution of MIMO systems

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.
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Communication dans un congrès
ICASSP, Apr 2015, Brisbane, Australia
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https://hal.inria.fr/hal-01103506
Contributeur : Karim Abed-Meraim <>
Soumis le : mercredi 14 janvier 2015 - 18:31:44
Dernière modification le : lundi 16 juillet 2018 - 16:01:11

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  • HAL Id : hal-01103506, version 1

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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〉

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