A Novel Method for Multi-targets ISAR Imaging

被引:0
|
作者
Liu, Lei [1 ]
Zhou, Feng [1 ]
Guo, Yongqiang [2 ]
Tao, Mingliang [1 ]
Sun, Pange [1 ]
Zhang, Zijing [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian, Peoples R China
[2] Beijing Inst Tracking & Telecommun Technol, Beijing, Peoples R China
关键词
Inverse synthetic aperture radar (ISAR); multi-targets; particle swarm optimization (PSO); modified CLEAN; clustering algorithm; PARTICLE SWARM OPTIMIZATION; IMAGES;
D O I
暂无
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
A novel multi-targets ISAR imaging method based on particle swarm optimization (PSO) and modified CLEAN technique is proposed in this paper. First, multi-targets are modeled as several separated group-targets in which translational motion of each target is analogous. And then, translational motion of each group-target is modeled as a polynomial, and the polynomial coefficient is estimated via PSO. Then focused image of the group-target can be obtained and extracted via a modified CLEAN technique. Meanwhile, each target can be segmented and extracted based on clustering number estimation and K-means clustering algorithm. Finally, better focused image of each target would be obtained through further traditional mono-target imaging processing. Experimental results verify the validity of the proposed method.
引用
收藏
页码:314 / 319
页数:6
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