By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ersoy, M.O. ; Electr. & Electron. Eng. Dept., Middle East Tech. Univ., Ankara, Turkey ; Turhan-Sayan, G.

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.

Published in:

Antennas and Propagation Society International Symposium, 2005 IEEE  (Volume:4A )

Date of Conference:

3-8 July 2005