一种基于 OSA 与 CS 原理的 SAR 成像算法研究

摘要

In order to improve the imaging performance of Synthetic Aperture Radar(SAR)and settle the problem of generating higher systematical error after the process with the technology of preprocessing on SAR data, this paper emphasizes on introducing the fundamental principles of Overlapped Sub-aperture Algorithm(OSA)and puts forward a concrete realizing solution combined with Chirp Scaling(CS)theory. The solution offsets the higher systematical error to a great degree. The simulation results manifest the feasibility and availability of the solution via the comparison to classical Chirp Scaling algorithm through computer simulation.%　　为了提高合成孔径雷达的成像效果，解决 SAR 数据进行预处理后产生的高阶系统误差问题，详细介绍了重叠子孔径算法(OSA)的基本原理，并结合 CS 原理给出了具体的实现方案。该方案在很大程度上补偿了 SAR 数据处理过程中出现的高阶系统误差项。通过计算机仿真以及与常规 CS 算法的对比，验证了此方案的可行性和有效性。