Radial Basis Function Neural Networks for Channel Estimation in MIMO-OFDM Systems

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dc.contributor.authorSeyman, M. Nuri
dc.contributor.authorTaspinar, Necmi
dc.date.accessioned2020-06-25T18:07:07Z
dc.date.available2020-06-25T18:07:07Z
dc.date.issued2013
dc.departmentKırıkkale Üniversitesi
dc.description.abstractOrthogonal frequency division multiplexing (OFDM) combined with multiple input multiple output (MIMO) antennas is one of the promising schemes for high rate data transmission and capacity improvement. However, in these systems, channel estimation task is critical for coherent detection and demodulation. In this study, we have proposed a channel estimator based on radial basis function neural network trained by gradient descent method for MIMO-OFDM systems. Simulation results show that the proposed estimator performs better than other considered channel estimation techniques.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1007/s13369-013-0586-1
dc.identifier.endpage2178en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-84880731413
dc.identifier.scopusqualityQ1
dc.identifier.startpage2173en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-013-0586-1
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5483
dc.identifier.volume38en_US
dc.identifier.wosWOS:000322114200022
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science And Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMIMO-OFDMen_US
dc.subjectChannel estimationen_US
dc.subjectRadial basis function neural networken_US
dc.titleRadial Basis Function Neural Networks for Channel Estimation in MIMO-OFDM Systemsen_US
dc.typeArticle

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