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Article: Low complexity blind equalization algorithm based on probability density function

TitleLow complexity blind equalization algorithm based on probability density function
Authors
Zhang, C-YLin, BLiu, R-J
KeywordsBlind Equalization Algorithm
Inter Symbol Interference
Parzen Window
Probability Density Function
Issue Date2008
Citation
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University, 2008, v. 34 n. 3, p. 43-45+50 How to Cite?
AbstractThe blind equalization algorithm based on Parzen window method (SQD algorithm) has high computational complexity when systems use high bandwidth-efficiency quardrature amplitude modulation (QAM). A low complexity SQD algorithm (LCSQD) was developed. The judged region of the proposed algorithm was changed from the whole constellation to a circular region of the constellation, whose center was the equalization output and radius could be adjusted experimentally, and which leaded to a low computational requirement. Simulations for 16QAM and 64QAM show that the proposed algorithm has a faster convergence speed than that of SQD algorithm when the residual ISI is the same.
Persistent Identifierhttp://hdl.handle.net/10722/91103
ISSN
1006-7736
2020 SCImago Journal Rankings: 0.157
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, C-Yen_HK
dc.contributor.authorLin, Ben_HK
dc.contributor.authorLiu, R-Jen_HK
dc.date.accessioned2010-09-17T10:13:04Z-
dc.date.available2010-09-17T10:13:04Z-
dc.date.issued2008en_HK
dc.identifier.citationDalian Haishi Daxue Xuebao/Journal of Dalian Maritime University, 2008, v. 34 n. 3, p. 43-45+50en_HK
dc.identifier.issn1006-7736en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91103-
dc.description.abstractThe blind equalization algorithm based on Parzen window method (SQD algorithm) has high computational complexity when systems use high bandwidth-efficiency quardrature amplitude modulation (QAM). A low complexity SQD algorithm (LCSQD) was developed. The judged region of the proposed algorithm was changed from the whole constellation to a circular region of the constellation, whose center was the equalization output and radius could be adjusted experimentally, and which leaded to a low computational requirement. Simulations for 16QAM and 64QAM show that the proposed algorithm has a faster convergence speed than that of SQD algorithm when the residual ISI is the same.en_HK
dc.languageengen_HK
dc.relation.ispartofDalian Haishi Daxue Xuebao/Journal of Dalian Maritime Universityen_HK
dc.subjectBlind Equalization Algorithmen_HK
dc.subjectInter Symbol Interferenceen_HK
dc.subjectParzen Windowen_HK
dc.subjectProbability Density Functionen_HK
dc.titleLow complexity blind equalization algorithm based on probability density functionen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-49549088776en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-49549088776&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume34en_HK
dc.identifier.issue3en_HK
dc.identifier.spage43en_HK
dc.identifier.epage45+50en_HK
dc.identifier.issnl1006-7736-

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