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Conference Paper: Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics

TitleUnified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics
Authors
KeywordsAnalysis
Cramer-Rao Bound
Feedforward
Performance
Synchronization
Timing Recovery
Issue Date2006
Citation
Ieee Transactions On Wireless Communications, 2006, v. 5 n. 4, p. 737-742 How to Cite?
AbstractIn this letter, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158440
ISSN
2015 Impact Factor: 2.925
2015 SCImago Journal Rankings: 2.340
References

 

DC FieldValueLanguage
dc.contributor.authorWu, YCen_US
dc.contributor.authorSerpedin, Een_US
dc.date.accessioned2012-08-08T08:59:38Z-
dc.date.available2012-08-08T08:59:38Z-
dc.date.issued2006en_US
dc.identifier.citationIeee Transactions On Wireless Communications, 2006, v. 5 n. 4, p. 737-742en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://hdl.handle.net/10722/158440-
dc.description.abstractIn this letter, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration. © 2006 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Wireless Communicationsen_US
dc.subjectAnalysisen_US
dc.subjectCramer-Rao Bounden_US
dc.subjectFeedforwarden_US
dc.subjectPerformanceen_US
dc.subjectSynchronizationen_US
dc.subjectTiming Recoveryen_US
dc.titleUnified analysis of a class of blind feedforward symbol timing estimators employing second-order statisticsen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, YC:ycwu@eee.hku.hken_US
dc.identifier.authorityWu, YC=rp00195en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/TWC.2006.1618922en_US
dc.identifier.scopuseid_2-s2.0-33645816341en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33645816341&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume5en_US
dc.identifier.issue4en_US
dc.identifier.spage737en_US
dc.identifier.epage742en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridWu, YC=7406894786en_US
dc.identifier.scopusauthoridSerpedin, E=7003366947en_US

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