Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8307
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dc.contributor.authorOnur, Y.-
dc.date.accessioned2022-01-15T13:02:29Z-
dc.date.available2022-01-15T13:02:29Z-
dc.date.issued2021-
dc.identifier.isbn9781665436496-
dc.identifier.urihttps://doi.org/10.1109/SIU53274.2021.9477805-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8307-
dc.description29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 -- 9 June 2021 through 11 June 2021 -- 170536en_US
dc.description.abstractEmerging as a product in remote sensing systems with multiple polarizations, the specific differential phase difference provides an important input to target classification algorithms. The specific differential phase difference derived from the differential phase difference is the expression of the phase difference between two polarizations in a radar cell. The specific word refers to its formation on a cell basis. The differential phase difference is obtained accumulatively along a radar beam. Basically the specific differential phase difference is the derivative of the differential phase difference. Due to the nature of its electromagnetic propagation, the beam sent is noisily seen in the receivers. Due to this noise added to the electromagnetic wave in both polarizations and the cumulative acquisition of the differential phase difference, it becomes difficult to calculate the differential phase difference specifically on a cell basis. In this context, the propesed method reduces the noise seen in the receiver in the first stage. In the second stage, an algorithm was used to unfold the phase folds that can occur in the differential phase shift which is cumulative along the beam. Finally, linear regression with moving windows was applied on signals which noise reduced and phase folds opened, and the specific differential phase was calculated from here. © 2021 IEEE.en_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKDPen_US
dc.subjectLinear regressionen_US
dc.subjectNoise reductionen_US
dc.subjectPhase unfoldingen_US
dc.subjectSpecific differential phase shiften_US
dc.subjectElectromagnetic wave polarizationen_US
dc.subjectElectromagnetic wavesen_US
dc.subjectRemote sensingen_US
dc.subjectDifferential phaseen_US
dc.subjectDifferential phase shiftsen_US
dc.subjectElectromagnetic propagationen_US
dc.subjectMultiple polarizationsen_US
dc.subjectRemote sensing systemen_US
dc.subjectSignal processing techniqueen_US
dc.subjectSpecific differential phaseen_US
dc.subjectTarget classification algorithmsen_US
dc.subjectRadar signal processingen_US
dc.titleEstimation of Specific Differential Phase Shift Using Signal Processing Techniquesen_US
dc.title.alternativeSinyal İşleme Teknikleri ile Spesifik Diferansiyel Faz Farkinin Tahmin Edilmesien_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.wosWOS:000808100700048en_US
dc.identifier.scopus2-s2.0-85111430499en_US
dc.institutionauthorÖnür, Yusuf-
dc.identifier.doi10.1109/SIU53274.2021.9477805-
dc.authorscopusid36970225500-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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