大斜视角机载聚束式SAR改进的FS成像算法

提出一种适用于大斜视角下机载聚束式合成孔径雷达(SAR)的改进FrequencyScaling(FS)算法。基于斜 视距离等效模型,推导出改进的FS算法,给出改进的FS因子和相关因子以及算法的实现步骤。在斜视情况下改进的 FS因子可避免距离向频谱混迭,改进的方位因子可以减小算法所需要的方位时间展宽,提高方位处理效率。最后,通过 计算机仿真,验证了算法的有效性。

Refined FS Algorithm for High Squint AirSpace Spotlight SAR Imaging

In this paper a refined frequency scaling algorithm for high squint airspace spotlight synthetic aperture radar(SAR) imaging is presented.The algorithm could process dechirped raw data directly.Based on the squinted range equivalent model that is fitter for high squint geometrical relation than the broadside range model,the complete derivation of the algorithm is presented and the refined frequency scaling factors of each signal domain are given.The refined factors could avoid that range bandwidth was aliased or shifted outside the processed bandwidth for squinted mode.The refined azimuth scaling factor could decease azimuth time expansion and improve efficiency of azimuth processing.Finally,the validity of the refined algorithm was tested by computer simulation.