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Geometry Reconstruction Based on Attributes of Scattering Centers by Using Time-Frequency Representations

机译:基于时频表示的基于散射中心属性的几何重构

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Experiments have shown that the inverse scattering problem of a radar target can potentially be resolved by the attributed scattering centers. The signatures of radar images are mainly determined by the aspect dependencies of the scattering amplitude and location of scattering centers. According to the aspect dependency characteristics, scattering centers are classified into three types. Each type provides different geometry information on the targets. This study presents the characteristics of these three types of scattering centers by using the parametric models and signatures of different radar images. The time-frequency representations (TFRs) of radar returns are found to have some advantages in geometry reconstruction compared with other radar images. Based on the parametric models of the scattering centers, a framework for recovering geometry by using TFR is proposed. Numerical experiments with an unmanned aerial vehicle (UAV) and a civil aircraft show the validity of this technique. The results indicate that the main geometries of the two aircrafts are reconstructed with high precision.
机译:实验表明,雷达目标的逆散射问题可以通过归因于散射的中心来解决。雷达图像的特征主要取决于散射幅度和散射中心位置的纵横比。根据方面依赖性特征,将散射中心分为三种类型。每种类型在目标上提供不同的几何信息。本研究通过使用参数模型和不同雷达图像的特征来介绍这三种类型的散射中心的特征。与其他雷达图像相比,发现雷达回波的时频表示(TFR)在几何重构中具有一些优势。基于散射中心的参数模型,提出了使用TFR恢复几何的框架。无人飞行器(UAV)和民用飞机的数值实验证明了该技术的有效性。结果表明,两架飞机的主要几何形状都经过了高精度重构。

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