Channel Estimation and Equalization for Alamouti SF-Coded OFDM-UWA Communications

dc.contributor.authorPanayırcı, Erdal
dc.contributor.authorAltabbaa, Mhd Tahssin
dc.contributor.authorPoor, H-Vincent
dc.date2021-02
dc.date.accessioned2021-04-24T16:29:51Z
dc.date.available2021-04-24T16:29:51Z
dc.date.issued2021-02
dc.date.issued2021
dc.description.abstractIn this paper, a new channel estimation and equalization algorithm for underwater acoustic (UWA) communications is presented. The proposed algorithm is developed to meet the requirements of underwater time-varying sparse channels that undergo Rayleigh fading. In addition, the algorithm takes into consideration a path-based channel model which describes each received path with significant power by an attenuation factor, a Doppler scale, and a delay. Transmit diversity enabled by Alamouti space-frequency block coding coupled with orthogonal frequency division multiplexing is employed in the form of two transmitters and multiple receivers. The proposed, non-data-aided, expectation-maximization (EM)-based maximum a posteriori probability sparse channel estimation first estimates the channel transfer functions from each transmit antenna to the receiver. Then, the estimation performance is greatly improved by taking into account the sparseness of the UWA channel and refining the estimation based on the sparse solution that best matches the frequency-domain channel estimates obtained during the first phase of the estimation process. Sparse channel path delays and Doppler scaling factors are estimated by a novel technique called delay focusing. After that, slow time-varying, complex-valued channel path gains are estimated using a basis expansion model based on the discrete Legendre polynomial expansion. Computer simulation results show that the resulting channel estimation algorithm can achieve excellent mean-square error and symbol error rate for both generated data and semi-experimental data taken at Sapanca Lake in Turkey and is capable of handling some mismatch due to different fading models.en_US
dc.identifier.citation10
dc.identifier.doi10.1109/TVT.2021.3056004en_US
dc.identifier.endpage1723en_US
dc.identifier.issn0018-9545
dc.identifier.issn0018-9545en_US
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85100727430en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage1709en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4000
dc.identifier.volume70en_US
dc.identifier.wosWOS:000628913700049en_US
dc.identifier.wosqualityQ1
dc.institutionauthorPanayırcı, Erdalen_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.relation.journalIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChannel estimationen_US
dc.subjectOFDMen_US
dc.subjectDoppler effecten_US
dc.subjectDelaysen_US
dc.subjectEstimationen_US
dc.subjectUnderwater acousticsen_US
dc.subjectFocusingen_US
dc.subjectAlamouti space-frequency block codeen_US
dc.subjectbasis expansion modelen_US
dc.subjectDelay focusingen_US
dc.subjectMAP-EM channel estimationen_US
dc.subjectunderwater acoustic communicationsen_US
dc.titleChannel Estimation and Equalization for Alamouti SF-Coded OFDM-UWA Communicationsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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