000			03934nam a2200397 i 4500
999			_c200436721 _d54933
003			TR-AnTOB
005			20230908000944.0
007			ta
008			171111s2018 xxu e mmmm 00| 0 eng d
035			_a(TR-AnTOB)200436721
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041	0		_aeng
099			_aTEZ TOBB FBE ELE YL’19 SHA
100	1		_aShahi, Maryam _eauthor _9126243
245	1	0	_aClassification of electronic devices using harmonic radar based on a linear model with power-swept signals / _cMaryam Shahi ; thesis advisor Harun Taha Hayvacı.
264		1	_aAnkara : _bTOBB ETÜ Fen Bilimleri Enstitüsü, _c2019.
300			_aix, 35 pages : _billustrations ; _c29 cm
336			_2rdacontent _btxt _atext
337			_2rdamedia _bn _aunmediated
338			_2rdacarrier _bnc _avolume
502			_aTez (Yüksek Lisans)--TOBB ETÜ Fen Bilimleri Enstitüsü Temmuz 2019
520			_aNonlinear circuit components such as diodes, transistors, etc. receive a transmitted signal at a fundamental frequency and re-radiate the harmonics and possibly intermodulation products of that frequency. Many studies have been done to utilize nonlinearities of electronic circuits to detect, range, and track targets of interest in the presence of clutter using harmonic radar, yet only a few number of researches focus on classification of various electronic circuits. A new technique to use nonlinear characteristics of electronic devices for classification of those devices using Harmonic Radar is proposed in this thesis. Unlike prior work in the literature, the powers of the transmitted incident waves are swept within a determined range in this study to capture the nonlinearities of the Electronic Circuits Under Test (ECUT). National Instruments (NI) AWR Design Environment is used to design the ECUT of this study. The first three harmonics of the received powers are analyzed in harmonic space. This novel method, derives the harmonic responses of the ECUT using Power Series Model. As a major contribution of this research, a linear model is proposed to relate the measurements to the unknown deterministic vectors of parameters characterizing the nonlinearities of the ECUT. Each electronic circuit under test has a distinguishable harmonic response to a single-tone or two-tone incident wave with varying power. Therefore, a unique vector of parameters can be derived from the presented linear model for each circuit. A Maximum Likelihood Estimator (MLE) is used in this novel approach to estimate the unique vectors of parameters in the presence of Complex White Gaussian Noise (CWGN) based on the newly developed linear model. K-Nearest Neighbors (kNN) classification method is employed to classify different nonlinear electronic devices such as diode clamper, diode limiter, and full-wave rectifier using the statistical features of the normalized estimated vectors of parameters as distinguishing factors. Simulation results prove the presented method of power-swept incident waves and estimated vectors of parameters to be an effective approach for classification of nonlinear devices using harmonic radar. The performance of the obtained classifier is evaluated using confusion matrices and scattered feature plots of the normalized estimated vectors of parameters. It is shown that the presented classifier in this study has a better performance compared to existing classifiers.
650		7	_aTezler, Akademik _932546
653			_aHarmonic radar
653			_aPower series model
653			_aMaximum likelihood estimator
653			_aLinear model
653			_aK-nearest neighbors
653			_aClassification
653			_aVectors of parameters
700	1		_aHayvacı, Harun Taha _eadvisor _9126244
710			_aTOBB Ekonomi ve Teknoloji Üniversitesi. _bFen Bilimleri Enstitüsü _977078
856	4	0	_uhttps://tez.yok.gov.tr/ _3Ulusal Tez Merkezi
942			_cTEZ _2z