基于星上实时信号处理机的Chirp Scaling算法实现方法

Implementation of Chirp Scaling algorithm based on space-borne real-time SAR processor

基于改进的ChirpScaling算法 ,提出了一种适用于星上实时信号处理机的高效成像处理实现方法 ,其核心思想也可应用于其它高分辨率星载SAR的精确成像算法 .首先介绍了实时信号处理机的结构 ,分析了数据处理粒度及其并行流水处理结构 .在此基础上 ,针对单个粒度的成像处理重新设计了算法流程 ,提出了一种高效的实现方法 .利用实时信号处理机 ,对仿真的回波数据进行了成像处理实验 ,结果表明 :在 41s内能够完成成像处理 ,成像处理速度和图像质量满足系统设计要求 ,从而验证了该方法的有效性 .

Based on the refined Chirp Scaling image formation algorithm, an efficient method for real-time processor on spaceborne synthetic aperture radar (SAR) was presented. Its key technique is applicable to other precise imaging algorithms for high resolution spaceborne SAR. The configuration of the real-time processor was introduced, the granularity of the data being processed and its parallel pipeline structure were analyzed. The processing flow for a single granularity was redesigned, and the efficient implementation method was discussed. Experiments were performed for the real-time processor using simulated SAR echo data. The whole progress was completed in 41 seconds. The conclusion is that the implementation method is validated by the processing speed and image quality, which meet the requirement of the system.