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dc.contributor.authorPanayırcı, Erdaltr_TR
dc.contributor.authorGeorghiades, Costas N.en_US
dc.contributor.authorHuq, Ayesha T.en_US
dc.date.accessioned2015-01-15T22:59:21Z
dc.date.available2015-01-15T22:59:21Z
dc.date.issued2001-04
dc.identifier.citationPanayirci, E., Georghiades, C. N., & Huq, A. T. (2001). Non-data-aided ML carrier frequency and phase synchronization in OFDM systems. European Transactions on Telecommunications, 12(2), 83-94.en_US
dc.identifier.issn1120-3862
dc.identifier.issn1541-8251
dc.identifier.otherWOS:000168434000001
dc.identifier.urihttp://hdl.handle.net/11729/100
dc.identifier.urihttp://dx.doi.org/10.1002/ett.4460120202
dc.description.abstractIn this paper non-data-aided(NDA), maximum likelihood(ML) algorithms are derived for the carrier frequency and phase offset, separately, for OFDM systems employing M-PSK modulation scheme. NDA ML estimation algorithm for frequency offset estimation exploits the redundant information contained in the cyclic prefix preceeding the OFDM symbols, thus reducing the need for pilots. Its mean-squared performance is obtained analytically and compared with simulation results. It is observed that the resulting algorithm generates very accurate estimation even when the offset is high. It is also shown that the frequency estimator may be used in a tracking mode. The ML algorithm derived for the carrier phase estimation is also a non-data-aided(NDA) and maximizes the low SNR limit of the likelihood function averaged over M-PSK signal constellation. It is shown that for sufficiently small SNR the ML phase estimator obtained reduces to the familiar Mth order power synchronizer which belongs to the class of NDA feedforward carrier synchronizers introduced earlier in the literature. Its mean-squared performance is obtained analytically and compared with simulation results. We observe that the resulting algorithm generates very accurate estimation even when the phase offset is high, that the self noise is absent and the performance of the algorithm is basically the same as the Cramer-Rao bound for moderate to high SNR. Finally we note that the error variance derived for the mean-squared performance of this NDA ML synchronizer is an extension of the approximate variance formula appeared in Reference 20,equation(14) for M-PSK.en_US
dc.language.isoenen_US
dc.publisherAssoc Elettrotecnica Ed Elettronica Italianaen_US
dc.relation.isversionof10.1002/ett.4460120202
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.sourceEuropean Transactions on Telecommunicationsen_US
dc.subjectTransmissionen_US
dc.subjectOffseten_US
dc.subjectMobileen_US
dc.subjectPsken_US
dc.titleNon-data-aided ML carrier frequency and phase synchronization in OFDM systemsen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.contributor.departmentIsik University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümütr_TR
dc.contributor.authorIDTR10331
dc.identifier.volume12
dc.identifier.issue2
dc.identifier.startpage83
dc.identifier.endpage94
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US


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