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Efficient SAR Raw Data Generation Including Low Squint Angles and Platform Instabilities

机译:高效的SAR原始数据生成,包括低斜角和平台不稳定性

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摘要

The performance of high-resolution synthetic aperture radar (SAR) systems under degrading conditions such as uncontrolled platform motion can only be analyzed and evaluated by modeling the whole imaging system through simulation. A major scientific problem, however, is the generation of spotlight mode SAR raw data because of the need for high numerical and modeling accuracy, and restricted computer time and space. Taking into account a squinted geometry and platform instabilities, the common generation of raw data in the time domain becomes time inefficient. This letter proposes a raw data generator with which the spotlight mode raw data set of an extended scene can be simulated and which combines the precision obtainable when working in the time domain with the efficiency of work in the frequency domain. The generated raw data are processed and analyzed to quantify the quality of the proposed simulation tool.
机译:高分辨率合成孔径雷达(SAR)系统在退化条件下(例如不受控制的平台运动)的性能只能通过模拟对整个成像系统进行建模来进行分析和评估。但是,由于需要较高的数值和建模精度以及有限的计算机时间和空间,因此主要的科学问题是生成聚光灯模式SAR原始数据。考虑到斜视的几何形状和平台的不稳定性,在时域中常见的原始数据生成变得时间效率低下。这封信提出了一种原始数据生成器,利用该原始数据生成器可以模拟扩展场景的聚光灯模式原始数据集,并将在时域工作时可获得的精度与频域中的工作效率相结合。对生成的原始数据进行处理和分析,以量化提出的仿真工具的质量。

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