Sparse Channel Estimation for OFDM-Based Underwater Acoustic Systems in Rician Fading With a New OMP-MAP Algorithm

dc.contributor.authorPanayırcı, Erdal
dc.contributor.authorAltabbaa, Mhd Tahssin
dc.contributor.authorUysal, Murat
dc.contributor.authorPoor, H. Vincent
dc.date.accessioned2019-06-27T08:01:42Z
dc.date.available2019-06-27T08:01:42Z
dc.date.issued2019
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this paper a new channel estimation algorithm is proposed that exploits channel sparsity in the time domain for an orthogonal frequency division multiplexing (OFDM)-based underwater acoustical (UWA) communications systems in the presence of Rician fading. A path-based channel model is used in which the channel is described by a limited number of paths each characterized by a delay Doppler scale and attenuation factor. The resulting algorithm initially estimates the overall sparse channel tap delays and Doppler shifts using a compressed sensing approach in the form of the orthogonal matching pursuit (OMP) algorithm. Then a computationally efficient and novel channel estimation algorithm is developed by combining the OMP and maximum a posteriori probability (MAP) techniques for estimating the sparse complex channel path gains whose prior densities have complex Gaussian distributions with unknown mean and variance vectors where a computationally efficient maximum likelihood algorithm is proposed for their estimation. Monte Carlo simulation results show that the mean square error and symbol error rate performances of the OMP-MAP algorithm uniformly outperforms the conventional OMP-based channel estimation algorithm in case of uncoded OFDM-based UWA communications systems.en_US]
dc.identifier.citation43
dc.identifier.doi10.1109/TSP.2019.2893841en_US
dc.identifier.endpage1565
dc.identifier.issn1053-587Xen_US
dc.identifier.issn1941-0476en_US
dc.identifier.issn1053-587X
dc.identifier.issn1941-0476
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85061301379en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage1550en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/448
dc.identifier.urihttps://doi.org/10.1109/TSP.2019.2893841
dc.identifier.volume67en_US
dc.identifier.wosWOS:000457991600005en_US
dc.identifier.wosqualityQ1
dc.institutionauthorPanayirci, Erdalen_US
dc.institutionauthorAltabbaa, Mhd Tahssinen_US
dc.institutionauthorPanayirci, Erdalen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journalTransactions on Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectUnderwater acoustic channel estimationen_US
dc.subjectequalizationen_US
dc.subjectOFDMen_US
dc.subjectorthogonal matching pursuiten_US
dc.subjectMAP estimationen_US
dc.titleSparse Channel Estimation for OFDM-Based Underwater Acoustic Systems in Rician Fading With a New OMP-MAP Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication

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