Feature Extraction in Radar Target Classification

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dc.contributor.authorKurty, J.
dc.contributor.authorNebus, F.
dc.contributor.authorKus, Z.
dc.coverage.issue3cs
dc.coverage.volume8cs
dc.date.accessioned2016-05-03T10:52:47Z
dc.date.available2016-05-03T10:52:47Z
dc.date.issued1999-09cs
dc.description.abstractThis paper presents experimental results of extracting features in the Radar Target Classification process using the J frequency band pulse radar. The feature extraction is based on frequency analysis methods, the discrete-time Fourier Transform (DFT) and Multiple Signal Characterisation (MUSIC), based on the detection of Doppler effect. The analysis has turned to the preference of DFT with implemented Hanning windowing function. We assumed to classify targets-vehicles into two classes, the wheeled vehicle and tracked vehicle. The results show that it is possible to classify them only while moving. The feature of the class results from a movement of moving parts of the vehicle. However, we have not found any feature to classify the wheeled and tracked vehicles while non-moving, although their engines are on.en
dc.formattextcs
dc.format.extent21-25cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1999, vol. 8, č. 3, s. 21-25. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58274
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1999/99_03_05.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectDFTen
dc.subjectDopler effecten
dc.subjectMUSICen
dc.subjectmicrophonic effecten
dc.subjectradar target classificationen
dc.subjectradar targer identificationen
dc.subjectradar tager recognitionen
dc.titleFeature Extraction in Radar Target Classificationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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