By Topic

An eigenvector approach for inverse synthetic aperture radar (ISAR) motion compensation and imaging

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
$33 $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)
Zhishun She ; CSSIP, Adelaide Univ., SA, Australia ; R. E. Bogner ; D. A. Gray

Inverse synthetic aperture radar (ISAR) is a high resolution imaging radar. The image reconstruction of ISAR involves two steps; motion compensation and image formation. In this paper, an eigenvector approach is proposed to carry out ISAR motion compensation. The eigenvector approach is identified as the maximal likelihood (ML) phase estimation of translational motion. The relationship of the eigenvector approach to other methods is also investigated. The results of processing simulated data and real data demonstrate that the eigenvector approach is correct and effective

Published in:

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE  (Volume:2 )

Date of Conference:

2-4 Dec 1997