Cart (Loading....) | Create Account
Close category search window
 

Target classification through time-reversal operator analysis using ultrawideband electromagnetic waves

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

3 Author(s)
Yavuz, M.E. ; Intel Corp., Portland, OR, USA ; Fouda, A.E. ; Teixeira, F.L.

We study the scattering matrices employed in time-reversal (TR) imaging algorithms in an attempt to provide additional classification information for scatterers with different shapes and characteristics. Specifically, we apply the eigenspace analysis to the so-called TR operator (TRO) and singular value analysis to the recently introduced space-frequency scattering matrices obtained for metallic and non-metallic objects with different cross-sections, aspect ratios and orientations. It is reported that for scatterers with cross sections less than half wavelength and unity aspect ratios, singular value distributions do not provide enough shape distinguishing information. On the other hand, when the cross-sections are larger and while operating at the higher portion of the frequency spectrum, singular value distributions deviate from each other providing shape distinguishing characteristics.

Published in:

Antennas and Propagation (EUCAP), Proceedings of the 5th European Conference on

Date of Conference:

11-15 April 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.