Autofocus and feature extraction in curvilinear SAR via a relaxation-based algorithm

被引：4

作者：

Li, J ^{[1
]}

Bi, Z

Liu, ZS

机构：

[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA

[2] 3COM Corp, Res & Dev, OEM, Skokie, IL 60076 USA

来源：

IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION | 1999年 / 146卷 / 04期

关键词：

D O I：

10.1049/ip-rsn:19990478

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 [电子科学与技术];

摘要：

The paper presents a relaxation-based autofocus (AUTORELAX) algorithm that can be used to compensate for the aperture errors in curvilinear synthetic aperture radar (CLSAR) and to extract three-dimensional target features. A self-contained detailed derivation of the data model for the autofocus problem in CLSAR is presented. Experimental and simulation results show that AUTORELAX can be used to significantly improve the estimation accuracy of the target parameters.

引用

页码：201 / 207

页数：7

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