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

descriptionPublicationkeyboard_double_arrow_right Article 23 Nov 2002Publisher:IEEEJournal:TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162), volume 2, pages 659-662

Authors: Douglas A. Gray; Zhishun She; R.E. Bogner;

doi: 10.1109/tencon.1997.648508

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

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Abstract

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.

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University of Adelaide
Australia

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Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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