Autofocus for inverse synthetic aperture radar (ISAR) imaging

She, Zhishun, Gray, D A and Bogner, R E (2001) Autofocus for inverse synthetic aperture radar (ISAR) imaging.


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Autofocus is a key step of inverse synthetic aperture radar (ISAR) imaging. In this paper four new approaches to autofocussing based on the application of beamforming and subspace concepts to ISAR imaging are developed. Their relations to maximum likelihood (ML) estimation are identified. A common feature of these techniques is the estimation of the complex vector formed by the exponential function of phase rather than phase itself so that phase unwrapping is obviated. The Cramer Rao lower bound (CRLB) of the estimated complex vector corresponding to translational motion and the CRLB of the estimated distance between two scatterers are derived. The results of processing simulated and real data confirm the validity of proposed approaches.

Item Type: Article
Additional Information: 2001 Elsevier Science B.V. All rights reserved. This is the author's final version after peer review.This article was originally published in the Signal Processing Journal in 2001 by Elsevier. The full article can be found at
Keywords: inverse synthetic aperture radar (ISAR), autofocus, beamforming, subspace method, array calibration
Divisions: ?? GlyndwrUniversity ??
Depositing User: ULCC Admin
Date Deposited: 05 Oct 2011 09:13
Last Modified: 11 Dec 2017 20:06

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