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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Conference papers
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https://hal.inria.fr/hal-01103506
Contributor : Karim Abed-Meraim <>
Submitted on : Wednesday, January 14, 2015 - 6:31:44 PM
Last modification on : Monday, July 16, 2018 - 4:01:11 PM

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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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