聚束式SAR斜视模型子孔径CS算法  

Spotlight SAR Squinted Model Sub-Aperture Chirp Scaling Algorithm

作　　者：曾海彬[1] 曾涛[1] 李涛[1] 

机构地区：[1]北京理工大学信息科学技术学院电子工程系,北京100081

出　　处：《北京理工大学学报》2006年第4期349-352,共4页Transactions of Beijing Institute of Technology

基　　金：国家部委预研项目(20040141068)

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.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.

关 键 词：合成孔径雷达 子孔径 聚束式 变尺度因子 

分 类 号：TN95[电子电信—信号与信息处理]