Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3892
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dc.contributor.authorShahi, Maryam-
dc.contributor.authorİlbeği, Handan-
dc.contributor.authorYetik, İmam Şamil-
dc.contributor.authorHayvacı, Harun Taha-
dc.date.accessioned2020-10-22T16:46:30Z-
dc.date.available2020-10-22T16:46:30Z-
dc.date.issued2019-09-
dc.identifier.citationShahi, M., Ilbegi, H., Yetik, I. S. and Hayvaci, H. T. (2019, September). Distinguishing Electronic Devices Using Harmonic Radar Based on a Linear Model. In 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA) (pp. 1260-1263). IEEE.en_US
dc.identifier.isbn978-172810563-5-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/3892-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8879075-
dc.description.abstractA linear model using harmonic radar to distinguish electronic devices is proposed in this article. Nonlinear characteristics of the electronic devices are captured by using power varying signals as incident waves. Three harmonics of the received powers are analyzed in harmonic space. As a major contribution of this study, power series model is employed to calculate the input-output relationship of the electronic devices. As a first in this area, we construct a linear model that relates the measurements to the vectors of parameters characterizing the nonlinear behaviors of the Electronic Circuits Under Test (ECUT). Each nonlinear circuit has a distinct response to a single-tone time-varying signal with varying power. Subsequently, a unique unknown deterministic vector of parameters can be estimated from this linear model for each device. We estimate the unique vectors of parameters using a Maximum Likelihood Estimator (MLE) in the presence of Complex White Gaussian Noise (CWGN). We show that the statistical features of the normalized estimated vectors of parameters can be used to distinguish various nonlinear electronic devices.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHarmonic radaren_US
dc.subjectpower series modelen_US
dc.subjectlinear modelen_US
dc.subjectmaximum likelihood estimatoren_US
dc.subjectelectronic devicesen_US
dc.titleDistinguishing Electronic Devices Using Harmonic Radar Based on a Linear Modelen_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 Bölümüen_US
dc.identifier.startpage1260en_US
dc.identifier.endpage1263en_US
dc.authorid0000-0002-7330-4692-
dc.authorid0000-0002-6717-5484-
dc.identifier.wosWOS:000551337100384-
dc.identifier.scopus2-s2.0-85074920037-
dc.institutionauthorYetik, Imam Şamil-
dc.institutionauthorHayvacı, Harun Taha-
dc.identifier.doi10.1109/ICEAA.2019.8879075-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeConference Object-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
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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