Please use this identifier to cite or link to this item:
|Title:||Performance Analysis of Feature Sets for Harmonic Radar to Classify Electronic Devices||Authors:||İlbeği, H.
Classification (of information)
Monte Carlo methods
|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||URI:||https://doi.org/10.1109/ISMSIT56059.2022.9932786
|Appears in Collections:||Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection|
Show full item record
checked on May 29, 2023
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.