Electromagnetic target classification of small-scale aircraft modeled by conducting wire structures using a natural resonance based feature extraction technique

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 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 to perfectly conducting targets of moderately complicated geometries for the first time. The resulting classifier is successfully demonstrated to recognize five wire-modeled aircraft targets based on a reference database that is constructed at only three different aspect angles.

Subject Keywords

Aircraft , Target recognition, Geometry, Fusion power generation, Electromagnetic fields, Principal component analysis, Feature extraction, Resonance, Wire, Electromagnetic modeling

URI

https://hdl.handle.net/11511/57548

DOI

https://doi.org/10.1109/aps.2005.1552696

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

M. O. Ersoy and G. Sayan, “Electromagnetic target classification of small-scale aircraft modeled by conducting wire structures using a natural resonance based feature extraction technique,” 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57548.