Open Access

Eigenspace-Based Motion Compensation for ISAR Target Imaging

EURASIP Journal on Advances in Signal Processing20062006:090716

https://doi.org/10.1155/ASP/2006/90716

Received: 8 June 2005

Accepted: 24 November 2005

Published: 30 March 2006

Abstract

A novel motion compensation technique is presented for the purpose of forming focused ISAR images which exhibits the robustness of parametric methods but overcomes their convergence difficulties. Like the most commonly used parametric autofocus techniques in ISAR imaging (the image contrast maximization and entropy minimization methods) this is achieved by estimating a target's radial motion in order to correct for target scatterer range cell migration and phase error. Parametric methods generally suffer a major drawback, namely that their optimization algorithms often fail to converge to the optimal solution. This difficulty is overcome in the proposed method by employing a sequential approach to the optimization, estimating the radial motion of the target by means of a range profile cross-correlation, followed by a subspace-based technique involving singular value decomposition (SVD). This two-stage approach greatly simplifies the optimization process by allowing numerical searches to be implemented in solution spaces of reduced dimension.

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Authors’ Affiliations

(1)
Electronic Warfare and Radar Division, Department of Defence, Defence Science and Technology Organisation (DSTO), Australian Government

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Copyright

© D. Yau et al. 2006

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.