Square contour algorithm for blind equalization of QAM signals

A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers goo...

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Main Authors:	Trasapong Thaiupathump, Lin He, Saleem A. Kassam
Format:	Journal
Published:	2018
Subjects:	Computer Science Engineering
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33748297732&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61604
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-61604
record_format	dspace
spelling	th-cmuir.6653943832-616042018-09-11T08:56:49Z Square contour algorithm for blind equalization of QAM signals Trasapong Thaiupathump Lin He Saleem A. Kassam Computer Science Engineering A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers good convergence characteristics. By adding a constellation-matched error (CME) term to the cost function of the SCA, a modified SCA (MSCA) is obtained. The MSCA improves equalizer convergence performance. Simulations and analysis demonstrate the good performance of the proposed algorithms. © 2006 Elsevier B.V. All rights reserved. 2018-09-11T08:55:52Z 2018-09-11T08:55:52Z 2006-11-01 Journal 01651684 2-s2.0-33748297732 10.1016/j.sigpro.2006.02.035 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33748297732&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61604
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science Engineering
spellingShingle	Computer Science Engineering Trasapong Thaiupathump Lin He Saleem A. Kassam Square contour algorithm for blind equalization of QAM signals
description	A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers good convergence characteristics. By adding a constellation-matched error (CME) term to the cost function of the SCA, a modified SCA (MSCA) is obtained. The MSCA improves equalizer convergence performance. Simulations and analysis demonstrate the good performance of the proposed algorithms. © 2006 Elsevier B.V. All rights reserved.
format	Journal
author	Trasapong Thaiupathump Lin He Saleem A. Kassam
author_facet	Trasapong Thaiupathump Lin He Saleem A. Kassam
author_sort	Trasapong Thaiupathump
title	Square contour algorithm for blind equalization of QAM signals
title_short	Square contour algorithm for blind equalization of QAM signals
title_full	Square contour algorithm for blind equalization of QAM signals
title_fullStr	Square contour algorithm for blind equalization of QAM signals
title_full_unstemmed	Square contour algorithm for blind equalization of QAM signals
title_sort	square contour algorithm for blind equalization of qam signals
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33748297732&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61604
_version_	1681425651660226560

Square contour algorithm for blind equalization of QAM signals

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