ISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM

被引：19

作者：

Choi, G. G. ^{[2
]}

Park, S. H. ^{[2
]}

Kim, H. T. ^{[2
]}

Kim, K. T. ^{[1
]}

机构：

[1] Yeungnam Univ, Sch Elect & Comp Sci, Gyongsan 712749, Kyoung Buk, South Korea

[2] Pohang Univ Sci & Technol, Dept Elect & Elect Engn, Pohang 790784, Kyoung Buk, South Korea

来源：

JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS | 2009年 / 23卷 / 14-15期

关键词：

ALGORITHM;

D O I：

10.1163/156939309789932322

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes an accurate method to obtain Inverse Synthetic Aperture Radar (ISAR) images of multiple targets. The existing method using the Hough transform and edge detection has a demerit that its fitting ability of flight trajectory is not sufficient if a range profile has high order terms. For better quality of ISAR imaging, we use particle swarm optimization (PSO) to find residual high order coefficients. Simulation results show that two moving targets are successfully separated from each other.

引用

页码：1825 / 1834

页数：10

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