Electromagnetic target classification of aircraft modeled by conducting wire structures using a natural resonance based feature extraction technique Iletken tel yapilarla modellenmiş uçaklarin elektromanyetik doǧal rezonanslara dayali bir öznitelik çikarim tekniǧi ile siniflandirilmasi

Date

2005-12-01

Author

Ersoy, Mehmet Okan
Sayan, Gönül

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The problem studied in this paper, is the design of an electromagnetic target classifier by using a natural resonance based electromagnetic feature extraction technique applied to the small-scale aircraft targets. The aircraft targets are modeled by perfectly conducting, thin wire structures and the electromagnetic fields back-scattered from targets are numerically generated for five aircraft models. The Wigner-Ville time-frequency distribution (WD) is applied to the electromagnetic back-scattered responses of targets from different aspects. Then, feature vectors are extracted from suitably chosen late-time portions of the WD outputs, which include natural resonance related information for every target and aspect to decrease aspect dependency. The database of the classifier is constructed by the feature vectors extracted at only a few reference aspects. Principal components analysis is also used to fuse the feature vectors and/or late-time aircraft responses extracted from reference aspects of a given target into a single characteristic feature vector of that target to further reduce aspect dependency. Consequently, an almost aspect independent classifier is designed for small-scale aircraft targets reaching high correct classification rate. © 2005 IEEE.

URI

https://hdl.handle.net/11511/56255

DOI

https://doi.org/10.1109/siu.2005.1567729

Conference Name

Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Electromagnetic target classification of small-scale aircraft modeled by conducting wire structures using a natural resonance based feature extraction technique Ersoy, Mehmet Okan; Sayan, Gönül (2005-12-01) The problem studied in this paper is the design of an electromagnetic target classifier for small-scale aircraft targets by using a natural resonance based feature extraction technique supported by feature fusion. The aircraft targets are modeled by perfectly conducting straight thin wire structures and the electromagnetic fields back-scattered from targets are numerically generated. This technique uses the Wigner-Ville distribution (WD) and the principal component analysis (PCA). The technique is applied t...
Application of a natural-resonance based feature extraction technique to small-scale aircraft wires for electromagnetic target classification Ersoy, Mehmet Okan; Sayan, Gönül; Department of Electrical and Electronics Engineering (2004) The problem studied in this thesis, is the classification of the small-scale aircraft targets by using a natural resonance based electromagnetic feature extraction technique. The aircraft targets are modeled by perfectly conducting, thin wire structures. The electromagnetic back-scattered data used in the classification process, are numerically generated for five aircraft models. A contemporary signal processing tool, the Wigner-Ville distribution is employed in this study in addition to using the principal...
Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification Sayan, Gönül (Elsevier BV, 2003-07-01) This paper presents a model-based electromagnetic feature extraction technique that makes use of time–frequency analysis to extract natural resonance-related target features from scattered signals. In this technique, the discrete auto-Wigner distribution of a given signal is processed to obtain a partitioned energy density vector with a significantly reduced sensitivity to aspect angle. Each partition of this vector contains, in the approximate sense, spectral distribution of the signal energy confined to a...
A Radar Target Recognition Method with MUSIC Algorithm: Application to Aircraft Targets with Measured Scattered Data Secmen, M.; Turhan-Sayan, G.; Sayan, Gönül (2008-05-30) This paper demonstrates the usefulness of an ultra wideband target recognition method in the case of realistic and complicated target geometries at resonance region. The method utilizes the MUSIC algorithm to extract the natural resonance-related scattering features of targets. The resulting features give the power distribution maps of targets. These maps are called as fused MUSIC spectrum matrices and used as the main target recognition feature in the method. The fusion process is needed to reduce the aspe...
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Citation Formats

M. O. Ersoy and G. Sayan, “Electromagnetic target classification of aircraft modeled by conducting wire structures using a natural resonance based feature extraction technique Iletken tel yapilarla modellenmiş uçaklarin elektromanyetik doǧal rezonanslara dayali bir öznitelik çikarim tekniǧi ile siniflandirilmasi,” Kayseri, Turkey, 2005, vol. 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56255.