Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3890
Title: Classification of Electronic Devices With Power-Swept Signals Using Harmonic Radar
Authors: Hayvacı, Harun Taha
İlbeği, Handan
Yetik, İmam Şamil
Keywords: Classification
harmonic radar
k-nearest neighbors (k NN)
nonlinear radar
nonlinear target
Issue Date: Jun-2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Hayvaci, H. T., Ilbegi, H. and Yetik, I. S. (2019). Classification of electronic devices with power swept signals using harmonic radar. IEEE Transactions on Aerospace and Electronic Systems.
Abstract: A novel approach for classification of electronic devices using a harmonic radar is proposed in this article. We transmit single-tone time-varying signals with varying power to the electronic circuits under test (ECUTs). The novelty of the proposed approach stems from representing the harmonic response of the ECUT in the harmonic and statistical feature spaces. Besides, as a new approach, we sweep the transmitting power to capture the nonlinear behavior relevant to nonlinear I - V characteristics of the ECUT. Furthermore, we utilize both the time and frequency content of the received harmonic response. Statistical and Fourier domain features of the received power levels at harmonic frequencies are determined and used for classification. k-nearest neighbors is chosen as the classification method. We demonstrate the effectiveness of our method in the presence of noise through Monte Carlo simulations with different signal-to-noise ratio values. Extensive simulation studies show that our new approach of power-swept signals and new features we have developed are very effective at classifying nonlinear devices. © 1965-2011 IEEE.
URI: https://hdl.handle.net/20.500.11851/3890
https://ieeexplore.ieee.org/document/8882246/
ISSN: 0018-9251
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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