New blind deflation-based deconvolution algorithms using givens and shear rotations

Qadri Mayyala; Karim Abed-Meraim; Azzedine Zerguine

doi:10.1109/ICC.2017.7996517

New blind deflation-based deconvolution algorithms using givens and shear rotations

Qadri Mayyala
, Karim Abed-Meraim
, Azzedine Zerguine

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

3 Scopus citations

Abstract

In this paper, the problem of blind equalization and source separation of convolutive Multi-Input Multi-Output (MIMO) system is solved using Givens/Shear rotations. Targeting the Multi-Modulus (MM) signals and exploiting the second-order decorrelation among the transmitting sources, two efficient Givens Muti-Modulus (G-MMDDA) and Hyperbolic Givens (HG-MMDDA) Deconvolution algorithms are proposed for the first time. These solutions can be seen as extensions of the blind source separation MM-based method by Shah et al (2015) to the more general case of blind deconvolution for memory MIMO channels. The resulting algorithms are quite appealing as they combine both a good speed of convergence with low computational complexity.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7996517
State	Published - 28 Jul 2017

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2017.7996517

Cite this

Mayyala, Q., Abed-Meraim, K., & Zerguine, A. (2017). New blind deflation-based deconvolution algorithms using givens and shear rotations. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7996517 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996517

Mayyala, Qadri ; Abed-Meraim, Karim ; Zerguine, Azzedine. / New blind deflation-based deconvolution algorithms using givens and shear rotations. 2017 IEEE International Conference on Communications, ICC 2017. editor / Merouane Debbah ; David Gesbert ; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE International Conference on Communications).

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abstract = "In this paper, the problem of blind equalization and source separation of convolutive Multi-Input Multi-Output (MIMO) system is solved using Givens/Shear rotations. Targeting the Multi-Modulus (MM) signals and exploiting the second-order decorrelation among the transmitting sources, two efficient Givens Muti-Modulus (G-MMDDA) and Hyperbolic Givens (HG-MMDDA) Deconvolution algorithms are proposed for the first time. These solutions can be seen as extensions of the blind source separation MM-based method by Shah et al (2015) to the more general case of blind deconvolution for memory MIMO channels. The resulting algorithms are quite appealing as they combine both a good speed of convergence with low computational complexity.",

author = "Qadri Mayyala and Karim Abed-Meraim and Azzedine Zerguine",

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Mayyala, Q, Abed-Meraim, K & Zerguine, A 2017, New blind deflation-based deconvolution algorithms using givens and shear rotations. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7996517, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICC.2017.7996517

New blind deflation-based deconvolution algorithms using givens and shear rotations. / Mayyala, Qadri; Abed-Meraim, Karim; Zerguine, Azzedine.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7996517 (IEEE International Conference on Communications).

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

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AB - In this paper, the problem of blind equalization and source separation of convolutive Multi-Input Multi-Output (MIMO) system is solved using Givens/Shear rotations. Targeting the Multi-Modulus (MM) signals and exploiting the second-order decorrelation among the transmitting sources, two efficient Givens Muti-Modulus (G-MMDDA) and Hyperbolic Givens (HG-MMDDA) Deconvolution algorithms are proposed for the first time. These solutions can be seen as extensions of the blind source separation MM-based method by Shah et al (2015) to the more general case of blind deconvolution for memory MIMO channels. The resulting algorithms are quite appealing as they combine both a good speed of convergence with low computational complexity.

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Mayyala Q, Abed-Meraim K, Zerguine A. New blind deflation-based deconvolution algorithms using givens and shear rotations. In Debbah M, Gesbert D, Mellouk A, editors, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996517. (IEEE International Conference on Communications). doi: 10.1109/ICC.2017.7996517

New blind deflation-based deconvolution algorithms using givens and shear rotations

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