Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems

Syed Awais W. Shah; Karim Abed-Meraim; Tareq Y. Al-Naffouri

doi:10.1109/icassp.2015.7178352

Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems

Syed Awais W. Shah, Karim Abed-Meraim, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

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 into 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.

Original language	English (US)
Title of host publication	2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2155-2159
Number of pages	5
ISBN (Print)	9781467369978
DOIs	https://doi.org/10.1109/icassp.2015.7178352
State	Published - Aug 12 2015

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Shah, S. A. W., Abed-Meraim, K., & Al-Naffouri, T. Y. (2015). Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2155-2159). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/icassp.2015.7178352

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title = "Multi-Modulus algorithms using hyperbolic and 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 into 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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Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems. / Shah, Syed Awais W.; Abed-Meraim, Karim; Al-Naffouri, Tareq Y.
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 2155-2159.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems

AU - Shah, Syed Awais W.

AU - Abed-Meraim, Karim

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N1 - KAUST Repository Item: Exported on 2020-10-01

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N2 - 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 into 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.

AB - 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 into 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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M3 - Conference contribution

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BT - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems

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