Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3892
Title: Distinguishing Electronic Devices Using Harmonic Radar Based on a Linear Model
Authors: Shahi, Maryam
İlbeği, Handan
Yetik, İmam Şamil
Hayvacı, Harun Taha
Keywords: Harmonic radar
power series model
linear model
maximum likelihood estimator
electronic devices
Issue Date: Sep-2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Shahi, 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.
Abstract: A 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.
URI: https://hdl.handle.net/20.500.11851/3892
https://ieeexplore.ieee.org/document/8879075
ISBN: 978-172810563-5
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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