Research on Channel Estimation and OFDM Signals Detection in Rapidly Time-Variant Channels

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dc.contributor.authorHuang, Min
dc.contributor.authorLi, Bingbing
dc.coverage.issue3cs
dc.coverage.volume23cs
dc.date.accessioned2014-12-11T12:25:34Z
dc.date.available2014-12-11T12:25:34Z
dc.date.issued2014-09cs
dc.description.abstractIt is well known that iterative channel estimation and OFDM signals detection can significantly improve the performance of communication system. However, its performance is poor due to the modelling error of basis expansion model (BEM) being large enough and can not being ignored in rapidly time-variant channels. In this paper, channel estimation and OFDM signals detection are integrated into a real non-linear least squares (NLS) problem. Then the modified Broyden-Fletcher-Goldfarb-Shanno (MBFGS) algorithm is adopted to search the optimal solution. In addition, Cramer-Rao Bound (CRB) for our proposed approach is derived. Simulation results are presented to illustrate the superiority of the proposed approach.en
dc.formattextcs
dc.format.extent880-889cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2014, vol. 23, č. 3, s. 880-889. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36491
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2014/14_03_0880_0889.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectChannel estimationen
dc.subjectOFDM signals detectionen
dc.subjecta real NLS problemen
dc.subjectMBFGSen
dc.subjectCRBen
dc.titleResearch on Channel Estimation and OFDM Signals Detection in Rapidly Time-Variant Channelsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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