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ISAR imaging of moving satellite based on GO-PO scattering model

机译:基于GO-PO散射模型的移动卫星的ISAR成像

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An efficient algorithm is proposed for the radar cross-section (RCS) prediction of complex target with electronically large size, which is a combination of geometrical optics and physical optics (GO-PO) method. The method taking the multiple reflections into account is applied to the electromagnetic scattering analysis of a satellite model. Then RCS curves of entire satellite model and the model without antenna structure are figured out. Based on the simulated echoes, the traditional inverse synthetic aperture radar (ISAR) images are discussed. Moreover, an application of motion compensation technique based on the joint time-frequency analysis is presented for ISAR imaging of the moving satellite that has both translational and rotational movements. Numerical results show good performance of GO-PO method in accuracy and efficiency and the great influence of the antenna with corner structures on the scattering characteristic of the satellite.
机译:提出了一种有效的电子大尺寸复杂目标雷达截面(RCS)预测算法,该算法是几何光学和物理光学(GO-PO)方法的结合。考虑到多次反射的方法被应用于卫星模型的电磁散射分析。然后,计算出整个卫星模型和无天线模型的RCS曲线。基于模拟回波,讨论了传统的逆合成孔径雷达(ISAR)图像。此外,提出了一种基于联合时频分析的运动补偿技术在具有平移和旋转运动的移动卫星的ISAR成像中的应用。数值结果表明,GO-PO方法在精度和效率上都具有良好的性能,并且带有角结构的天线对卫星的散射特性影响很大。

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