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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
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
2015 SCImago Journal Rankings: 0.199
References

 

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

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