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: Thaiupathump T., He L., Kassam S.A.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-33748297732&partnerID=40&md5=110f8c49343a984da0d474a5f9a91bf9
http://cmuir.cmu.ac.th/handle/6653943832/1302
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-13022014-08-29T09:29:06Z Square contour algorithm for blind equalization of QAM signals Thaiupathump T. He L. Kassam S.A. 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. 2014-08-29T09:29:06Z 2014-08-29T09:29:06Z 2006 Article 01651684 10.1016/j.sigpro.2006.02.035 SPROD http://www.scopus.com/inward/record.url?eid=2-s2.0-33748297732&partnerID=40&md5=110f8c49343a984da0d474a5f9a91bf9 http://cmuir.cmu.ac.th/handle/6653943832/1302 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
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 Article
author Thaiupathump T.
He L.
Kassam S.A.
spellingShingle Thaiupathump T.
He L.
Kassam S.A.
Square contour algorithm for blind equalization of QAM signals
author_facet Thaiupathump T.
He L.
Kassam S.A.
author_sort Thaiupathump T.
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 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-33748297732&partnerID=40&md5=110f8c49343a984da0d474a5f9a91bf9
http://cmuir.cmu.ac.th/handle/6653943832/1302
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