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dc.contributor.authorDogan, Hakan
dc.contributor.authorPanayirci, Erdal
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2019-06-28T11:11:33Z
dc.date.available2019-06-28T11:11:33Z
dc.date.issued2007
dc.identifier.isbn9781424418350
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1623
dc.identifier.urihttps://doi.org/10.1109/ISSPIT.2007.4458126
dc.description.abstractIn this work maximum likelihood (ML) channel estimation for uplink multicarrier code-division multiple-access (MC-CDMA) systems is considered in the presence of frequency fading channel. The expectation-maximization (EM)- and a space-alternating generalized expectation-maximization (SAGE) algorithm are introduced to avoid matrix inversion for the ML channel estimation problem. We compare the both algorithms in terms of the number of used iteration and show that the proposed algorithms converge the same performance of the ML estimator as the increasing number of iterations. ©2007 IEEE.
dc.language.isoEnglish
dc.publisherIEEE
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChannel estimation
dc.subjectEM
dc.subjectLeast square
dc.subjectMaximum likelihood
dc.subjectMC-CDMA systems
dc.subjectSAGE
dc.titleIterative channel estimation techniques for uplink MC-CDMA systems
dc.typeConference Paper
dc.identifier.startpage302
dc.identifier.endpage306
dc.relation.journalInternational Symposium on Signal Processing and Information Technology
dc.identifier.doi10.1109/ISSPIT.2007.4458126
dc.contributor.khasauthorPanayirci, Erdal


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