On the Equalization of an OFDM-Based Radio-over-Fiber System Using Neural Networks

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dc.contributor.authorSafari, Leila
dc.contributor.authorBaghersalimi, Gholamreza
dc.contributor.authorKarami, Ali
dc.contributor.authorKiani, Abdolreza
dc.coverage.issue1cs
dc.coverage.volume26cs
dc.date.accessioned2017-04-18T08:21:44Z
dc.date.available2017-04-18T08:21:44Z
dc.date.issued2017-04cs
dc.description.abstractIn this study the impact of a Radio-over-Fiber (RoF) subsystem on the performance of Orthogonal Frequency Division Multiplexing (OFDM) system is evaluated. The study investigates the use of Multi-Layered Perceptron (MLP) and Radial Basis Function (RBF) neural networks to compensate for the optical subsystem nonlinearities in terms of bit error rate, error vector magnitude, and computational complexity. The Bit Error Rate (BER) and Error Vector Magnitude (EVM) results show that the performance of MLP neural network is superior to that of RBF neural network and time-multiplexed pilot-based equalizer especially in the case of highly nonlinear behavior of the RoF subsystem.en
dc.formattextcs
dc.format.extent162-169cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 1, s. 162-169. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2017.0162en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/64721
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2017/17_01_0162_0169.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectRadio-over-Fiberen
dc.subjectOFDMen
dc.subjectequalizationen
dc.subjectneural networken
dc.subjectRBFen
dc.subjectMLPen
dc.subjectBERen
dc.subjectEVMen
dc.titleOn the Equalization of an OFDM-Based Radio-over-Fiber System Using Neural Networksen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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