一种多目标ISAR成像新方法

Lei Liu, Feng Zhou, Yongqiang Guo, Mingliang Tao, Pange Sun, Zi-jing Zhang
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引用次数: 1

摘要

提出了一种基于粒子群优化(PSO)和改进CLEAN技术的多目标ISAR成像方法。首先,将多目标建模为多个分离的群目标,其中每个目标的平移运动是相似的。然后,将每组目标的平移运动建模为多项式,并通过粒子群算法估计多项式系数。然后通过改进的CLEAN技术获得群目标的聚焦图像并进行提取。同时,基于聚类数估计和K-means聚类算法对每个目标进行分割和提取。最后,通过进一步传统的单目标成像处理,得到各目标更好的聚焦图像。实验结果验证了该方法的有效性。
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A novel method for multi-targets ISAR imaging
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.
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