High-resolution inverse synthetic aperture radar imaging for large rotation angle targets based on segmented processing algorithm

被引：2

作者：

Chen, Hao ^{[1
,2
]}

Zhang, Xinggan ^{[1
]}

Bai, Yechao ^{[1
]}

Tang, Lan ^{[1
,3
]}

机构：

[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing, Peoples R China

[2] Anhui Normal Univ, Coll Phys & Elect Informat, Wuhu, Peoples R China

[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China

来源：

JOURNAL OF APPLIED REMOTE SENSING | 2017年 / 11卷

关键词：

inverse synthetic aperture radar; migration through resolution cell; image registration; high-resolution imaging; ISAR; COMPENSATION; AUTOFOCUS; MIGRATION; SYSTEM; CELL;

D O I：

10.1117/1.JRS.11.015023

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In inverse synthetic aperture radar (ISAR) imaging, the migration through resolution cells (MTRCs) will occur when the rotation angle of the moving target is large, thereby degrading image resolution. To solve this problem, an ISAR imaging method based on segmented preprocessing is proposed. In this method, the echoes of large rotating target are divided into several small segments, and every segment can generate a low-resolution image without MTRCs. Then, each low-resolution image is rotated back to the original position. After image registration and phase compensation, a high-resolution image can be obtained. Simulation and real experiments show that the proposed algorithm can deal with the radar system with different range and cross-range resolutions and significantly compensate the MTRCs. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE).

引用

页数：11

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