摘要： 合成孔径雷达(SAR)成像具有数据量巨大、算法比较复杂等特点。如何实时实现SAR成像的相关算法是嵌入式高性能计算领域一个值得研究的问题。针对SAR成像中多普勒调频率估计的经典算法PGA算法，阐述了算法的实时化改进。介绍了基于FPGA的SAR自动聚焦处理器的系统级设计及PGA算法到FPGA逻辑实现的映射过程。

关键词: SAR, 嵌入式高性能计算, 相位梯度自聚焦, FPGA

Abstract: Synthetic aperture radar(SAR)image has some common features such as huge data volume, relative complex algorithm. Realizing SAR image algorithm is worthy of being studied in the domain of embedded high performance computing(EHPC). Some improvements of PGA algorithm and the classic autofocus algorithm are presented. The architecture of the autofocus processor based on FPGA and the principle of how to map the improved algorithm to FPGA architecture are discussed.

Key words: Synthetic aperture radar(SAR), Embedded high performance computing(EHPC), Phase gradient auto-focus, FPGA

中图分类号: 

• TP391.41