A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization

Omar Alhmouz; Shafayat Abrar; Naveed Iqbal; Azzedine Zerguine

doi:10.1109/IWCMC.2018.8450447

A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization

Omar Alhmouz, Shafayat Abrar, Naveed Iqbal, Azzedine Zerguine

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

3 Scopus citations

Abstract

In this work, a variable step-size (VSS) blind equalization algorithm is presented for a multimodulus blind equalization scheme. The parameters of the proposed algorithm are selected using a particle swarm optimization strategy. Eventually, the best parameters for the proposed VSS blind equalization algorithm are obtained and better performance is obtained when compared to the trial-and-error method for choosing these parameters. Ultimately, a considerable reduction in computational complexity when compared to the fixed-step algorithm with extra constraints. Simulation results support this new proposed technique.

Original language	English
Title of host publication	2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1357-1361
Number of pages	5
ISBN (Print)	9781538620700
DOIs	https://doi.org/10.1109/IWCMC.2018.8450447
State	Published - 28 Aug 2018

Publication series

Name	2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Blind equalizers
Computational complexity
Convergence
Particle swarm optimization
Simulation
Steady-state

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Control and Optimization

Access to Document

10.1109/IWCMC.2018.8450447

Cite this

Alhmouz, O., Abrar, S., Iqbal, N., & Zerguine, A. (2018). A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization. In 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 (pp. 1357-1361). Article 8450447 (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2018.8450447

Alhmouz, Omar ; Abrar, Shafayat ; Iqbal, Naveed et al. / A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization. 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1357-1361 (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018).

@inproceedings{00790589fd424f3891d60e3626231ef2,

title = "A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization",

abstract = "In this work, a variable step-size (VSS) blind equalization algorithm is presented for a multimodulus blind equalization scheme. The parameters of the proposed algorithm are selected using a particle swarm optimization strategy. Eventually, the best parameters for the proposed VSS blind equalization algorithm are obtained and better performance is obtained when compared to the trial-and-error method for choosing these parameters. Ultimately, a considerable reduction in computational complexity when compared to the fixed-step algorithm with extra constraints. Simulation results support this new proposed technique.",

keywords = "Blind equalizers, Computational complexity, Convergence, Particle swarm optimization, Simulation, Steady-state",

author = "Omar Alhmouz and Shafayat Abrar and Naveed Iqbal and Azzedine Zerguine",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.",

year = "2018",

month = aug,

day = "28",

doi = "10.1109/IWCMC.2018.8450447",

language = "English",

isbn = "9781538620700",

series = "2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1357--1361",

booktitle = "2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018",

address = "United States",

}

Alhmouz, O, Abrar, S, Iqbal, N & Zerguine, A 2018, A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization. in 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018., 8450447, 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1357-1361. https://doi.org/10.1109/IWCMC.2018.8450447

A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization. / Alhmouz, Omar; Abrar, Shafayat; Iqbal, Naveed et al.
2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1357-1361 8450447 (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018).

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

TY - GEN

T1 - A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization

AU - Alhmouz, Omar

AU - Abrar, Shafayat

AU - Iqbal, Naveed

AU - Zerguine, Azzedine

PY - 2018/8/28

Y1 - 2018/8/28

N2 - In this work, a variable step-size (VSS) blind equalization algorithm is presented for a multimodulus blind equalization scheme. The parameters of the proposed algorithm are selected using a particle swarm optimization strategy. Eventually, the best parameters for the proposed VSS blind equalization algorithm are obtained and better performance is obtained when compared to the trial-and-error method for choosing these parameters. Ultimately, a considerable reduction in computational complexity when compared to the fixed-step algorithm with extra constraints. Simulation results support this new proposed technique.

AB - In this work, a variable step-size (VSS) blind equalization algorithm is presented for a multimodulus blind equalization scheme. The parameters of the proposed algorithm are selected using a particle swarm optimization strategy. Eventually, the best parameters for the proposed VSS blind equalization algorithm are obtained and better performance is obtained when compared to the trial-and-error method for choosing these parameters. Ultimately, a considerable reduction in computational complexity when compared to the fixed-step algorithm with extra constraints. Simulation results support this new proposed technique.

KW - Blind equalizers

KW - Computational complexity

KW - Convergence

KW - Particle swarm optimization

KW - Simulation

KW - Steady-state

UR - http://www.scopus.com/inward/record.url?scp=85053921799&partnerID=8YFLogxK

U2 - 10.1109/IWCMC.2018.8450447

DO - 10.1109/IWCMC.2018.8450447

M3 - Conference contribution

AN - SCOPUS:85053921799

SN - 9781538620700

T3 - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

SP - 1357

EP - 1361

BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Alhmouz O, Abrar S, Iqbal N , Zerguine A. A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization. In 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1357-1361. 8450447. (2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018). doi: 10.1109/IWCMC.2018.8450447

A Variable Step-Size Blind Equalization Algorithm Based on Particle Swarm Optimization

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this