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dc.contributor.authorCırpan, H. A.en_US
dc.contributor.authorPanayırcı, E.en_US
dc.contributor.authorDoğan, H.en_US
dc.date.accessioned2016-02-08T10:20:04Z
dc.date.available2016-02-08T10:20:04Z
dc.date.issued2006en_US
dc.identifier.issn0018-9545
dc.identifier.urihttp://hdl.handle.net/11693/23842
dc.description.abstractThis paper proposes a computationally efficient nondata-aided maximum a posteriori (MAP) channel-estimation algorithm focusing on the space-frequency (SF) transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency-selective channels. The proposed algorithm properly averages out the data sequence and requires a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates the complex channel parameters of each subcarrier iteratively, using the expectation maximization (EM) method. To further reduce the computational complexity of the proposed MAP algorithm, the optimal truncation property of the KL expansion is exploited. The performance of the MAP channel estimator is studied based on the evaluation of the modified Cramer-Rao bound (CRB). Simulation results confirm the proposed theoretical analysis and illustrate that the proposed algorithm is capable of tracking fast fading and improving overall performance. © 2006 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Transactions on Vehicular Technologyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TVT.2005.863427en_US
dc.subjectExpectation maximization (EM) algorithmen_US
dc.subjectMaximum a posteriori (MAP) channel estimationen_US
dc.subjectOrthogonal frequency division multiplexing (OFDM) systemsen_US
dc.subjectSpace-frequency codingen_US
dc.subjectAlgorithmsen_US
dc.subjectCommunication channels (information theory)en_US
dc.subjectComputational complexityen_US
dc.subjectComputer simulationen_US
dc.subjectDiversity receptionen_US
dc.subjectMultipath propagationen_US
dc.subjectParameter estimationen_US
dc.subjectRayleigh fadingen_US
dc.subjectExpectation maximization (EM) algorithmen_US
dc.subjectMaximum a posteriori (MAP) channel estimationen_US
dc.subjectSpace-frequency (SF) transmit diversityen_US
dc.subjectOrthogonal frequency division multiplexingen_US
dc.titleNondata-aided channel estimation for OFDM systems with space-frequency transmit diversityen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage449en_US
dc.citation.epage457en_US
dc.citation.volumeNumber55en_US
dc.citation.issueNumber2en_US
dc.identifier.doi10.1109/TVT.2005.863427en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US


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