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dc.contributor.authorMasud Rana, Md.
dc.contributor.authorKim, J.
dc.contributor.authorCho, W.-K.
dc.date.accessioned2016-03-11T09:20:19Z
dc.date.available2016-03-11T09:20:19Z
dc.date.issued2010-12cs
dc.identifier.citationRadioengineering. 2010, vol. 19, č. 4, s. 678-688. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57052
dc.description.abstractIn this paper, a variable step size based least mean squares (LMS) channel estimation (CE) algorithm is presented for a single carrier frequency division multiple access(SC-FDMA) system under the umbrella of the long term evolution (LTE). This unbiased CE method can automatically adapts the weighting coefficients on the channel condition. Therefore, it does not require knowledge of channel,and noise statistics. Furthermore, it uses a phase weighting scheme to eliminate the signal fluctuations due to noise and decision errors. Such approaches can guarantee the convergence towards the true channel coefficient. The mean and mean square behaviors of the proposed CE algorithm are also analyzed. With the help of theoretical analysis and simulation results, we prove that the proposed algorithm outperforms the existing algorithms in terms of mean square error (MSE) and bit error rate (BER) by more than around 2.5dB.en
dc.formattextcs
dc.format.extent678-688cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2010/10_04_678_688.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectSF-FDMAen
dc.subjectPAPRen
dc.subjectLMSen
dc.subjectNLMS,VSS-LMSen
dc.subjectRLSen
dc.subjectLTEen
dc.titleLMS Based Adaptive Channel Estimation for LTE Uplinken
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume19cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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