基于逆Chirp Scaling算法的合成孔径雷达原始数据仿真

SAR Raw Data Simulation based on Inverse Chirp Scaling Algorithm

介绍了一种采用逆CS(Chirp Scaling)算法的合成孔径雷达回波数据模拟方法。利用一种场景处理方法,将目标场景转化为含有连续相位信息的复图像。按照CS成像算法的逆运算恢复原始数据,通过相位因子相乘注入距离徙动量和距离/方位的耦合量。最后,通过仿真实验证明了该方法的有效性。

A synthetic aperture radar raw data simulation method using inverse CS（Chirp Scaling） algorithm is presented.The target scene is turned into complex image containing continuous phase using a scene processing method.According to reverse CS imaging steps,raw data is reconstructed with the range migration and the range-azimuth coupling injected by phase multiplying.At last,the validity of the proposed method is proved by simulation experiment.