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dc.contributor.authorMatousek, Z.
dc.contributor.authorKurty, J.
dc.contributor.authorMokris, I.
dc.date.accessioned2016-05-02T12:06:22Z
dc.date.available2016-05-02T12:06:22Z
dc.date.issued2001-12cs
dc.identifier.citationRadioengineering. 2001, vol. 10, č. 4, s. 36-40. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58208
dc.description.abstractThe paper deals with classification of ground radar targets. A received radar signal backscattered from a ground radar target was digitized and in the form of radar signal matrix utilized for a feature extraction based on Singular Value Decomposition. Furthermore, singular values of a backscattered radar signal matrix, as a target feature, were utilized for Radar Target Classification by multilayer perceptron. In the learning phase of a multilayer perceptron we used the learning target set and in the testing phase the testing target set was used. The learning and testing target sets were created on the basis of real ground radar targets.en
dc.formattextcs
dc.format.extent36-40cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2001/01_04_36_40.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectGround radar target classificationen
dc.subjectground radar targeten
dc.subjectradar signalen
dc.subjectSingular Value Decompositionen
dc.subjectSVDen
dc.subjectmultilayer perceptronen
dc.titleGround Radar Target Classification Using Singular Value Decomposition and Multilayer Perceptronen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume10cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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