Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11913
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dc.contributor.authorIşıklı, S.O.-
dc.contributor.authorBor, E.-
dc.contributor.authorYasa, U.G.-
dc.contributor.authorKeskin, M.Z.-
dc.contributor.authorBaşaran, A.-
dc.contributor.authorFigen, Z.G.-
dc.contributor.authorAkgün, T.-
dc.date.accessioned2024-12-10T19:00:45Z-
dc.date.available2024-12-10T19:00:45Z-
dc.date.issued2024-
dc.identifier.isbn978-151068110-1-
dc.identifier.issn0277-786X-
dc.identifier.urihttps://doi.org/10.1117/12.3031268-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11913-
dc.descriptionHGH Infrared Systems; Leonardo MW Ltd.; Photon Lines Ltd.; Pro-Lite Technology Ltd.; Thales; The Society of Photo-Optical Instrumentation Engineers (SPIE)en_US
dc.descriptionHigh-Power Lasers and Technologies for Optical Countermeasures II 2024 -- 16 September 2024 through 18 September 2024 -- Edinburgh -- 203767en_US
dc.description.abstractHeat-seeking missiles continue to be serious threats to aircrafts. In recent years, open-loop DIRCM systems have proven to be efficient countermeasures against these missiles. However, closed-loop DIRCM systems seem to be more promising as they employ a jamming code based on the classification or identification of an incoming missile through retro-reflection from the seeker head. In these systems, the retro-reflected beam is influenced by the optical turbulence in both transmission and return paths. In this paper, the influence of optical turbulence on the identification performance of a closed-loop DIRCM system is investigated. A dataset is created by varying the seeker spin and carrier frequencies along with the optical turbulence levels and range. Deep neural network classifiers were trained on this dataset and evaluated in terms of their effectiveness in identifying missile seekers with the DIRCM system. © 2024 SPIE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAKen_US
dc.language.isoenen_US
dc.publisherSPIEen_US
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClosed-loop DIRCMen_US
dc.subjectdeep learningen_US
dc.subjectdeep neural network classifieren_US
dc.subjectdirected-infrared countermeasuresen_US
dc.subjectheat-seeking missilesen_US
dc.subjectoptical turbulenceen_US
dc.subjectFighter aircraften_US
dc.subjectGas turbinesen_US
dc.subjectInfrared devicesen_US
dc.subjectLight transmissionen_US
dc.subjectRadar countermeasuresen_US
dc.subjectSteam turbinesen_US
dc.subjectClosed-loopen_US
dc.subjectClosed-loop DIRCMen_US
dc.subjectDeep learningen_US
dc.subjectDeep neural network classifieren_US
dc.subjectDirected infrared countermeasuresen_US
dc.subjectHeat-seeking missilesen_US
dc.subjectNeural networks classifiersen_US
dc.subjectOpen-loopen_US
dc.subjectOptical turbulenceen_US
dc.subjectPerformanceen_US
dc.subjectMissilesen_US
dc.titleThe Influence of Optical Turbulence on Closed-Loop Dircm Identification Performanceen_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume13201en_US
dc.identifier.scopus2-s2.0-85209988536en_US
dc.institutionauthor-
dc.identifier.doi10.1117/12.3031268-
dc.authorscopusid59422210400-
dc.authorscopusid57190728450-
dc.authorscopusid57191038215-
dc.authorscopusid57912824900-
dc.authorscopusid57304640000-
dc.authorscopusid6505818726-
dc.authorscopusid9273895500-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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