Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10027
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dc.contributor.authorSeçmen, Mustafa-
dc.contributor.authorTurhan-Sayan, Gönül-
dc.date.accessioned2021-01-24T18:32:00Z-
dc.date.available2021-01-24T18:32:00Z-
dc.date.issued2010-
dc.identifier.isbn978-1-934142-14-1-
dc.identifier.issn1559-9450-
dc.identifier.urihttps://hdl.handle.net/11147/10027-
dc.descriptionProgress in Electromagnetics Research Symposiumen_US
dc.description.abstractThe electromagnetic target classification is a challenging problem since the scattered field from a target is highly dependent on operating frequency, polarization and aspect angle. In order to minimize adverse effects of these dependencies an intelligent classifier containing some distinguishable target features is needed. In addition, in order to be suitable for real target applications, the properties of operating with moderate frequency bandwidth and discriminating an alien target from a target set containing friend targets are important. In this study, an electromagnetic target classification method for isolated targets using noisy data in the classifier design to obtain high accuracy performance in a wider SNR range and having the ability of discrimination of an alien target without any priori information is introduced. The proposed method is mainly based on a late-time resonance region target classification technique, which was reported recently to use the multiple signal classification (MUSIC) algorithm and natural-resonance mechanism modeled by singularity expansion method (SEM) for target feature extraction, and modified for target sets containing alien target(s). The proposed classifier design method is demonstrated and tested for a target set of five friend and one alien small-scale aircraft targets. According to the test result, the proposed method gives high accuracy rates for this target set.en_US
dc.description.sponsorshipSchlumberger-Doll Res, MIT Ctr Electromagnet Theory & Applicat/Res Lab Elect, Zhejiang Univ, Electromagnet Acaden_US
dc.language.isoenen_US
dc.publisherElectromagnetics Academyen_US
dc.relation.ispartofPiers 2010 Cambridge: Progress In Electromagnetics Research Symposium Proceedings, Vols 1 And 2en_US
dc.relation.ispartofseriesProgress in Electromagnetics Research Symposium-
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAn electromagnetic target classification method for the target sets with alien target: Application to small-scale aircraft targetsen_US
dc.typeConference Objecten_US
dc.institutionauthorSeçmen, Mustafa-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.startpage235en_US
dc.identifier.endpage+en_US
dc.identifier.wosWOS:000305490800049en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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