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

被引：0
|
作者：
She, ZS [1 ]
Bogner, RE [1 ]
Gray, DA [1 ]
机构：
[1] Univ Adelaide, Cooperat Res Ctr Sensor Signal & Informat Proc, CSSIP, Adelaide, SA 5005, Australia
来源：
IEEE TENCON'97 - IEEE REGIONAL 10 ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2: SPEECH AND IMAGE TECHNOLOGIES FOR COMPUTING AND TELECOMMUNICATIONS | 1997年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：659 / 662
页数：4
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