Show simple item record

dc.contributor.authorSafari, L.
dc.contributor.authorBaghersalimi, G.
dc.contributor.authorKarami, A.
dc.contributor.authorKiani, A.
dc.date.accessioned2017-04-18T08:21:44Z
dc.date.available2017-04-18T08:21:44Z
dc.date.issued2017-04cs
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 1, s. 162-169. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/64721
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.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.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
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue1cs
dc.coverage.volume26cs
dc.identifier.doi10.13164/re.2017.0162en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International