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dc.contributor.authorPanayırcı, Erdalen_US
dc.contributor.authorGeorghiades, Costas N.en_US
dc.date.accessioned2015-07-14T23:48:29Z
dc.date.available2015-07-14T23:48:29Z
dc.date.issued2000
dc.identifier.citationPanayırcı, E. & Georghiades, C. H. (2000). Joint ML timing and phase estimation in OFDM systems using the EM algorithm. Paper presented at the 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2949-2952. doi:10.1109/ICASSP.2000.861152en_US
dc.identifier.isbn0780362934
dc.identifier.issn1520-6149
dc.identifier.otherWOS:000088999500739
dc.identifier.urihttps://hdl.handle.net/11729/687
dc.identifier.urihttp://dx.doi.org/10.1109/ICASSP.2000.861152
dc.description.abstractIn this paper, a computationally efficient algorithm is presented for joint maximum likelihood (ML) timing and carrier phase estimation of OFDM systems employing M-PSK modulation scheme with additive Gauissian noise, based on the Expectation-Maximization (EM) algorithm. A nondata-aided(NDA) scheme is considered for the joint timing and phase synchronizer which maximizes the low SNR limit of the likelihood function averaged over the M-PSK signal costellation. For this, an Ehl algorithm is derived which estimates the timing offset and the phase rotations of each subcarrier iteratively and which converges to the true ML estimation of the unknown timing and phase. It is shown that the algorithm becomes independent of the signal-to-noise ratio for both low and high SNR cases. The algorithm is applied to the QPSK modulated OFDM systems and it is concluded that for SNR values greater than 10 dB the convergence is achieved in first iteration and for SNR values less than 10 dB, at most in three iterations. It is also concluded that the convergence is independent of the initial starting points.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ICASSP.2000.861152
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdditive noiseen_US
dc.subjectConvergenceen_US
dc.subjectGaussian noiseen_US
dc.subjectIterative algorithmsen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectOFDM modulationen_US
dc.subjectPhase estimationen_US
dc.subjectPhase modulationen_US
dc.subjectSignal to noise ratioen_US
dc.subjectTimingen_US
dc.subjectEM algorithmen_US
dc.subjectM-PSK modulationen_US
dc.subjectM-PSK signal constellationen_US
dc.subjectML estimationen_US
dc.subjectOFDM systemsen_US
dc.subjectQPSKen_US
dc.subjectAdditive Gaussian noiseen_US
dc.subjectComputationally efficient algorithmen_US
dc.subjectExpectation-maximizationen_US
dc.subjectFading channelen_US
dc.subjectJoint ML timing estimationen_US
dc.subjectLikelihood functionen_US
dc.subjectLow SNR limiten_US
dc.subjectMultipathen_US
dc.subjectNondata-aided schemeen_US
dc.subjectPhase rotationsen_US
dc.subjectPhase synchronizeren_US
dc.subjectConvergence of numerical methodsen_US
dc.subjectMultipath channelsen_US
dc.subjectOptimisationen_US
dc.subjectQuadrature phase shift keyingen_US
dc.titleJoint ML timing and phase estimation in OFDM systems using the EM algorithmen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisher's Versionen_US
dc.relation.journal2000 IEEE International Conference on Acoustics, Speech, and Signal Processing.en_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.contributor.authorID0000-0001-7328-6626
dc.identifier.startpage2949
dc.identifier.endpage2952
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorPanayırcı, Erdalen_US


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