Classification of electronic devices using harmonic radar based on a linear model with power-swept signals / (Record no. 200436721)

000 -LEADER
fixed length control field 03959nam a2200397 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191127134630.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171111s2018 xxu e mmmm 00| 0 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number (TR-AnTOB)200436721
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number TEZ TOBB FBE ELE YL’19 SHA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Shahi, Maryam
Relator term author
9 (RLIN) 126243
245 10 - TITLE STATEMENT
Title Classification of electronic devices using harmonic radar based on a linear model with power-swept signals /
Statement of responsibility, etc. Maryam Shahi ; thesis advisor Harun Taha Hayvacı.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Ankara :
Name of producer, publisher, distributor, manufacturer TOBB ETÜ Fen Bilimleri Enstitüsü,
Date of production, publication, distribution, manufacture, or copyright notice 2019.
300 ## - PHYSICAL DESCRIPTION
Extent ix, 35 pages :
Other physical details illustrations ;
Dimensions 29 cm
336 ## - CONTENT TYPE
Source rdacontent
Content type code txt
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type code n
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type code nc
Carrier type term volume
502 ## - DISSERTATION NOTE
Dissertation note Tez (Yüksek Lisans)--TOBB ETÜ Fen Bilimleri Enstitüsü Temmuz 2019
520 ## - SUMMARY, ETC.
Summary, etc. Nonlinear 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 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tezler, Akademik
9 (RLIN) 32546
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Harmonic radar
Uncontrolled term Power series model
Uncontrolled term Maximum likelihood estimator
Uncontrolled term Linear model
Uncontrolled term K-nearest neighbors
Uncontrolled term Classification
Uncontrolled term Vectors of parameters
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hayvacı, Harun Taha
Relator term advisor
9 (RLIN) 126244
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element TOBB Ekonomi ve Teknoloji Üniversitesi Fen Bilimleri Enstitüsü
Subordinate unit Fen Bilimleri Enstitüsü
9 (RLIN) 77078
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://tez.yok.gov.tr/
Materials specified Ulusal Tez Merkezi
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Full call number Barcode Date last seen Copy number Date shelved Koha item type
      Ödünç Verilemez-Tez / Not For Loan-Thesis Tezler Merkez Kütüphane Merkez Kütüphane Tez Koleksiyonu / Thesis Collection 2019-11-27 Bağış / Donation TEZ TOBB FBE ELE YL’19 SHA TZ01024 2019-11-27 1 2019-11-28 Thesis

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