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

Author

She, Zhishun ; Bogner, R.E. ; Gray, D.A.

Author_Institution

CSSIP, Adelaide Univ., SA, Australia

Volume

2

fYear

1997

Firstpage

659

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

Keywords

eigenvalues and eigenfunctions; image reconstruction; maximum likelihood estimation; motion compensation; phase estimation; radar imaging; synthetic aperture radar; ISAR; eigenvector approach; high resolution imaging radar; image reconstruction; inverse synthetic aperture radar; maximal likelihood phase estimation; motion compensation; translational motion; High-resolution imaging; Inverse synthetic aperture radar; Maximum likelihood estimation; Motion compensation; Phase estimation; Radar imaging; Radar scattering; Radar signal processing; Signal resolution; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.648508

Filename

648508