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dc.contributor.authorGong, C.
dc.contributor.authorZhang, B. N.
dc.contributor.authorLiu, A. J.
dc.contributor.authorGuo, D. X.
dc.date.accessioned2016-03-01T09:16:16Z
dc.date.available2016-03-01T09:16:16Z
dc.date.issued2011-12cs
dc.identifier.citationRadioengineering. 2011, vol. 20, č. 4, s. 976-981. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/56939
dc.description.abstractSignal to noise ratio (SNR) estimators are required for many radio engineering applications. In this paper, a SNR estimator based on the first and second order moments is derived and examined for constant envelop modulations over additive white Gaussian noise (AWGN) channel. In the first, a modification method is proposed to reduce the bias of conventional first and second order moments based SNR estimator. Then, in order to reduce hardware implementation complicity, multi segments of cubic polynomial are adopted to approximate the expression of the proposed SNR estimator which doesn’t have a close form solution. The approximate expression is very precise in the SNR range -10dB ~ 20 dB as illustrated by numerical simulation. Besides, practical hardware circuit is proposed for FPGA implementation. Simulation results show that the proposed SNR estimator has the lowest normalized bias and variance when compared with two other classic estimators.en
dc.formattextcs
dc.format.extent976-981cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2011/11_04_976_981.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectSNR estimationen
dc.subjectMPSKen
dc.subjectmoment baseden
dc.subjectcurve fittingen
dc.subjectFPGAen
dc.titleA High Accurate and Low Bias SNR Estimator: Algorithm and Implementationen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume20cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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