Comparison of Matrix Pencil Extracted Features in Time Domain and in Frequency Domain for Radar Target Classification
Joint Authors
Khodjet-Kesba, Mahmoud
Drissi, Khalil El Khamlichi
Lee, Sukhan
Kerroum, Kamal
Faure, Claire
Pasquier, Christophe
Source
International Journal of Antennas and Propagation
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Feature extraction is a challenging problem in radar target identification.
In this paper, we propose a new approach of feature extraction by using Matrix Pencil Method in Frequency Domain (MPMFD).
The proposed method takes into account not only the magnitude of the signal, but also its phase, so that all the physical characteristics of the target will be considered.
With this method, the separation between the early time and the late time is not necessary.
The proposed method is compared to Matrix Pencil Method in Time Domain (MPMTD).
The methods are applied on UWB backscattered signal from three canonical targets (thin wire, sphere, and cylinder).
MPMFD is applied on a complex field (real and imaginary parts of the signal).
To the best of our knowledge, this comparison and the reconstruction of the complex electromagnetic field by MPMFD have not been done before.
We show the effect of the two extraction methods on the accuracy of three different classifiers: Naïve bayes (NB), K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM).
The results show that the accuracy of classification is better when using extracted features by MPMFD with SVM.
American Psychological Association (APA)
Khodjet-Kesba, Mahmoud& Drissi, Khalil El Khamlichi& Lee, Sukhan& Kerroum, Kamal& Faure, Claire& Pasquier, Christophe. 2014. Comparison of Matrix Pencil Extracted Features in Time Domain and in Frequency Domain for Radar Target Classification. International Journal of Antennas and Propagation،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1036270
Modern Language Association (MLA)
Khodjet-Kesba, Mahmoud…[et al.]. Comparison of Matrix Pencil Extracted Features in Time Domain and in Frequency Domain for Radar Target Classification. International Journal of Antennas and Propagation No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1036270
American Medical Association (AMA)
Khodjet-Kesba, Mahmoud& Drissi, Khalil El Khamlichi& Lee, Sukhan& Kerroum, Kamal& Faure, Claire& Pasquier, Christophe. Comparison of Matrix Pencil Extracted Features in Time Domain and in Frequency Domain for Radar Target Classification. International Journal of Antennas and Propagation. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1036270
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036270