聚束式SAR斜视模型子孔径CS算法

Spotlight SAR Squinted Model Sub-Aperture Chirp Scaling Algorithm

  • 摘要: 提出一种适合于大场景的聚束式合成孔径雷达(SAR)成像算法.该算法对经典的chirp scaling(CS)算法进行了改进,将雷达回波数据在方位向分为多个子孔径进行成像处理,对每个子孔径采用斜视等效距离模型,通过对回波信号在距离压缩过程中引入距离尺度变化,合理选择变尺度因子,消除了子孔径间距离拉伸尺度的差异.修正了相位补偿因子,使距离向压缩结果体现出方位时间.方位向压缩后,将各子孔径数据按时间先后排序拼接、运算,合成出全孔径分辨率图像.计算机仿真实验证明了该算法的有效性.

     

    Abstract: The article presents a spotlight SAR imaging algorithm for large scenes.Based on the classical chirp scaling algorithm,the algorithm divides the datum into several sub-apertures to image.Squinted equivalent range model is used.Range scaling is combined with range compression.Rational scaling factor is selected to remove the difference of sub-apertures.Phase compensatory factor is(amended) to make azimuth time outstanding.After azimuth compression,the sub-apertures are arrayed and synthesized to offer a full-aperture resolution image.Validity of the algorithm is testified by computer simulations.

     

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