Radar Target Classification Using Neural Network and Median Filter

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dc.contributor.authorMatousek, Z.
dc.contributor.authorKurty, J.
dc.coverage.issue3cs
dc.coverage.volume10cs
dc.date.accessioned2016-05-02T12:05:46Z
dc.date.available2016-05-02T12:05:46Z
dc.date.issued2001-09cs
dc.description.abstractThe paper deals with Radar Target Classification based on the use of a neural network. A radar signal was acquired from the output of a J frequency band noncoherent radar. We applied the three layer feed forward neural network using the backpropagation learning algorithm. We defined classes of radar targets and designated each of them by its number. Our classification process resulted in the number of a radar target class, which the radar target belongs to.en
dc.formattextcs
dc.format.extent15-17cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2001, vol. 10, č. 3, s. 15-17. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58195
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2001/01_03_15_17.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectclassification of ground radar targetsen
dc.subjectneural net-worken
dc.subjectradar signal processingen
dc.titleRadar Target Classification Using Neural Network and Median Filteren
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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