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Title: Performance Analysis of Feature Sets for Harmonic Radar to Classify Electronic Devices
Authors: İlbeği, H.
Hayvacı, H.T.
Yetik, I.S.
Keywords: classification
harmonic radar
harmonic re-radiation
nonlinear device
nonlinear radar
Classification (of information)
Electron devices
Harmonic analysis
Intelligent systems
Monte Carlo methods
Thermoelectric equipment
Electronics devices
Features sets
Fourier features
Harmonic radar
Harmonic re-radiation
Non-linear devices
Nonlinear radar
Performances analysis
Statistical features
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In this study, we exploit new feature sets to classify electronic devices via harmonic radar. Nonlinear characteristics of the devices are recorded as a response to a frequency-swept signal with constant power. The harmonic characteristics of electronic devices are described by statistical and Fourier feature sets. Contrary to previous studies, statistical and Fourier feature sets are composed of both feature parameters and harmonic information. Exploiting these feature sets provides a good baseline for performance comparison rather than analyzing the classification performance of the harmonics individually. The performance assessment is performed by Monte Carlo simulations. © 2022 IEEE.
Description: 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022 -- 20 October 2022 through 22 October 2022 -- 184355
ISBN: 9781665470131
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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