Distributed recursive blind equalization of networked systems

Chengpu Yu; Lihua Xie

doi:10.1109/WCICA.2014.7053770

Distributed recursive blind equalization of networked systems

Chengpu Yu, Lihua Xie

Nanyang Technological University

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

Abstract

In this paper, we study the distributed blind equalization of networked single-input multi-output (SIMO) systems for which the transfer functions from a common source to multiple outputs are described by FIR filters. The blind distributed equalization is carried out by firstly estimating the multiple FIR filters followed by the associated equalizers. Two different schemes are employed for the distributed realization of blind equalization: one depends on multiple average-consensus operations, and the other relies on the combination of innovation and one average-consensus operation. The former generates an approximate equalizer for which the associated estimation error is determined by the number of average-consensus operations, while the latter can provide an accurate equalizer estimation under some mild conditions. Finally, numerical simulations are carried out to show the performances of the proposed algorithms.

Original language	English
Title of host publication	Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6127-6132
Number of pages	6
Edition	March
ISBN (Electronic)	9781479958252
DOIs	https://doi.org/10.1109/WCICA.2014.7053770
Publication status	Published - 2 Mar 2015
Externally published	Yes
Event	2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 - Shenyang, China Duration: 29 Jun 2014 → 4 Jul 2014

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Number	March
Volume	2015-March

Conference

Conference	2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Country/Territory	China
City	Shenyang
Period	29/06/14 → 4/07/14

Keywords

Blind channel equalization
Consensus based gradient method
Mutually referenced equalizers

Access to Document

10.1109/WCICA.2014.7053770

Cite this

Yu, C., & Xie, L. (2015). Distributed recursive blind equalization of networked systems. In Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014 (March ed., pp. 6127-6132). Article 7053770 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2015-March, No. March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2014.7053770

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abstract = "In this paper, we study the distributed blind equalization of networked single-input multi-output (SIMO) systems for which the transfer functions from a common source to multiple outputs are described by FIR filters. The blind distributed equalization is carried out by firstly estimating the multiple FIR filters followed by the associated equalizers. Two different schemes are employed for the distributed realization of blind equalization: one depends on multiple average-consensus operations, and the other relies on the combination of innovation and one average-consensus operation. The former generates an approximate equalizer for which the associated estimation error is determined by the number of average-consensus operations, while the latter can provide an accurate equalizer estimation under some mild conditions. Finally, numerical simulations are carried out to show the performances of the proposed algorithms.",

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Yu, C & Xie, L 2015, Distributed recursive blind equalization of networked systems. in Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March edn, 7053770, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), no. March, vol. 2015-March, Institute of Electrical and Electronics Engineers Inc., pp. 6127-6132, 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014, Shenyang, China, 29/06/14. https://doi.org/10.1109/WCICA.2014.7053770

Distributed recursive blind equalization of networked systems. / Yu, Chengpu; Xie, Lihua.
Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 6127-6132 7053770 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2015-March, No. March).

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

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N2 - In this paper, we study the distributed blind equalization of networked single-input multi-output (SIMO) systems for which the transfer functions from a common source to multiple outputs are described by FIR filters. The blind distributed equalization is carried out by firstly estimating the multiple FIR filters followed by the associated equalizers. Two different schemes are employed for the distributed realization of blind equalization: one depends on multiple average-consensus operations, and the other relies on the combination of innovation and one average-consensus operation. The former generates an approximate equalizer for which the associated estimation error is determined by the number of average-consensus operations, while the latter can provide an accurate equalizer estimation under some mild conditions. Finally, numerical simulations are carried out to show the performances of the proposed algorithms.

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Yu C, Xie L. Distributed recursive blind equalization of networked systems. In Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 6127-6132. 7053770. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); March). doi: 10.1109/WCICA.2014.7053770

Distributed recursive blind equalization of networked systems

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