Low Radar Cross Section Uav Design in X-Band

dc.authorscopusid57904170700
dc.authorscopusid57904386700
dc.authorscopusid57904775000
dc.authorscopusid57736344000
dc.authorscopusid56217996200
dc.contributor.authorUnalir, Dizdar
dc.contributor.authorSezgin, Sila
dc.contributor.authorYuva, Cansu Sena
dc.contributor.authorYalcinkaya Gokdogan, Bengisu
dc.contributor.authorAydin, Elif
dc.contributor.otherDepartment of Electrical & Electronics Engineering
dc.contributor.otherElectrical-Electronics Engineering
dc.date.accessioned2024-07-05T15:50:07Z
dc.date.available2024-07-05T15:50:07Z
dc.date.issued2022
dc.departmentAtılım Universityen_US
dc.department-temp[Unalir, Dizdar; Sezgin, Sila; Yuva, Cansu Sena; Yalcinkaya Gokdogan, Bengisu; Aydin, Elif] Atilim Univ, Elekt Elekt Muhendisligi, Ankara, Turkeyen_US
dc.description.abstractAs Unmanned Aerial Vehicles (UAVs) have become widespread in defense industry, the radar technology that can detect them has also improved. These improvements cause UAVs to be detected more easily, which limits their effectiveness in military usage. Although the reduction of the radar cross-section (RCS) can provide a solution to this issue, the studies regarding that is insufficient in the literature. In this study, a shaping method is recommended to reduce the RCS of UAVs, and it is shown the method is effective to address the problem. Firstly, using a simulation tool, an UAV model is designed from simple shapes and the model is validated by comparing it with the ones in literature. Secondly, RCS values are measured using vertical and horizontal polarization throughout 360 degrees by incrementing the aspect angle by one degree in X-Band using the CST Studio Suite environment. Then, considering the hardware and aerodynamic requirements as well as limitations of the UAV model, a shaping technique is applied to the body, legs and the hollow parts of the UAV model with parametric simulations. The results show that the recommended shaping technique can provide a significant reduction in the RCS of an UAV.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation1
dc.identifier.doi10.1109/SIU55565.2022.9864894
dc.identifier.isbn9781665450928
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85138703953
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864894
dc.identifier.wosWOS:001307163400233
dc.identifier.wosqualityN/A
dc.institutionauthorAydın, Elif
dc.institutionauthorGökdoğan, Bengisu Yalçınkaya
dc.institutionauthorAydın, Elif
dc.institutionauthorGökdoğan, Bengisu Yalçınkaya
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEYen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectUAVen_US
dc.subjectunmanned aerial vehicleen_US
dc.subjectradar cross sectionen_US
dc.subjectRCS reductionen_US
dc.subjectX-Banden_US
dc.titleLow Radar Cross Section Uav Design in X-Banden_US
dc.title.alternativeX-bant'ta Düşük Radar Kesit Alanli Iha Tasarimien_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isAuthorOfPublication51b235b3-681b-44c7-89a8-f385d0faf933
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