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在合成孔径雷达 (SAR Synthetic Aperture Radar)的成像算法中 ,Chirp Scaling成像算法具有计算效率高的优点 ,因此得到了较为广泛的应用。详细研究了子孔径扩展 Chirp Scaling算法在高分辨率聚束模式 SAR中的应用 ,包括子孔径划分和方位向处理问题 ,针对 A.Moreira等1996年所提算法在处理聚束 SAR数据时所产生的问题 ,给出了经过改进的适合于大斜视角处理的整个计算过程的完整表达式。在给出点目标仿真的同时 ,利用 E- SAR实际数据对所述方法进行了验证 ,结果对具体的兼容条带和聚束两种工作模式的 SAR处理机设计具有一定的参考价值
Chirp Scaling imaging algorithm has the advantages of high computational efficiency in the imaging algorithms of SAR Synthetic Aperture Radar and has been widely used. The application of subaperture expansion Chirp Scaling algorithm in high resolution beamforming SAR, including sub-aperture partitioning and azimuth processing, is studied in detail. The algorithm proposed by A. Moreira et al. , An improved complete expression of the whole calculation process suitable for processing at a large oblique angle is given. At the same time point simulation is given, the method is validated by using the real data of E-SAR. The result is of certain reference value to the design of SAR processor which is compatible with both banding and bunching modes