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An SAR-ISAR Hybrid Imaging Method for Ship Targets Based on FDE-AJTF Decomposition

机译:基于FDE-AJTF分解的SAR-ISAR舰船目标混合成像方法

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In high-resolution spaceborne synthetic aperture radar (SAR), imaging of moving ship targets is strongly influenced by ships’ complex three-axis motions, so that imaging results are fuzzy and unfocused. Yet scattered and moving information on ship targets is wholly contained in the complex image data. This paper proposes a novel SAR and inverse SAR (SAR–ISAR) hybrid imaging method to improve imaging effects, using this complex SAR image data on ship targets, and based on frequency-domain-extraction-based adaptive joint time frequency (FDE–AJTF) decomposition. First, complex SAR image data is transformed to the Doppler domain in the azimuth dimension, and the optimum azimuth data are selected. Next, the signal in each range cell is decomposed to its polynomial phase signal (PPS) components by FDE–AJTF. Finally, a two-dimensional image of the ship target at a given azimuth time is constructed directly. The feasibility and effectiveness of this proposed imaging method is verified through comparisons with conventional methods in simulation and experimental tests.
机译:在高分辨率的星载合成孔径雷达(SAR)中,移动的舰船目标的成像会受到舰船复杂的三轴运动的强烈影响,因此成像结果模糊且不集中。然而,关于船舶目标的零散和移动信息完全包含在复杂图像数据中。本文提出了一种新颖的SAR和反向SAR(SAR-ISAR)混合成像方法,以在舰船目标上使用此复杂SAR图像数据,并基于频域提取的自适应联合时频(FDE-AJTF) )分解。首先,将复杂的SAR图像数据转换为方位角维度的多普勒域,然后选择最佳方位角数据。接下来,通过FDE–AJTF将每个范围单元中的信号分解为其多项式相位信号(PPS)分量。最终,直接构造给定方位角时船目标的二维图像。通过在仿真和实验测试中与常规方法进行比较,验证了该成像方法的可行性和有效性。

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