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High-resolution polarimetric radar targets recognition based on the fractal characterization

机译:基于分形特征的高分辨率极化雷达目标识别

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For high-resolution radar, target recognition is performed by using one-dimensional range profile. In this method, a radar target is described as composed of several kinds of scattering centers with different geometric shapes and structures. However, one-dimensional range profile is so extremely sensitive to aspect angle that a useful target recognition procedure is very unlikely to evolve from it. A novel idea is to use polarimetric range profile understanding technique to improve the recognition performance. In this paper, a study is performed on the fractal characterization of one-dimensional range profiles of high-resolution polarimetric radar targets at four kinds of polarimetric states (HH, HV, VH, VV), and a new concept of the fractal matrix is proposed.
机译:对于高分辨率雷达,目标识别是通过使用一维范围配置文件执行的。在这种方法中,雷达目标被描述为由具有不同几何形状和结构的几种散射中心组成。但是,一维范围轮廓对纵横角非常敏感,以至于有用的目标识别过程很难从中演变出来。一个新颖的想法是使用极化距离分布图理解技术来提高识别性能。本文对高分辨率极化雷达目标在四种极化状态(HH,HV,VH,VV)下的一维距离剖面的分形特征进行了研究,提出了一种新的分形矩阵概念建议的。

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