• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2021, Vol. 43 ›› Issue (03): 398-406.

• 高性能计算 • 上一篇    下一篇

SAR成像应用特征分析及硬件设计空间讨论

孔玺畅1,文梅1,蓝强2   

  1. (1.国防科技大学计算机学院,湖南 长沙 410073;2.国防科技大学气象海洋学院,湖南 长沙 410073)
  • 收稿日期:2020-04-20 修回日期:2020-06-28 接受日期:2021-03-25 出版日期:2021-03-25 发布日期:2021-03-26
  • 基金资助:
    国家自然科学基金(62002366,61802420)

Analyzing SAR imaging application feature and discussing hardware design space

KONG Xi-chang1,WEN Mei1,LAN Qiang2   

  1. (1.College of Computer Science and Technology,National University of Defense Technology,Changsha 410073;

    2.College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China)

  • Received:2020-04-20 Revised:2020-06-28 Accepted:2021-03-25 Online:2021-03-25 Published:2021-03-26

摘要: 合成孔径雷达SAR是一种主动式的对地观测系统。近年来SAR逐渐朝着多平台化发展,陆续出现了在无人机、探测车等小型移动平台上。SAR成像是运行在SAR上的成像程序,由于新的特殊运行环境的出现、其对低能耗和高算力有了更严格的要求。如何针对特定的平台,提供高性能、低功耗的应用支持,便成为其核心要点。对SAR成像计算和访存等特征进行了分析,针对性地进行了程序优化并测试了该程序在x86平台上的性能,以获得可靠的性能参考。在此基础上,面向DSP+FFT加速器的硬件结构,构建了一个算力配比数学模型,为硬件设计提供解决方案。


关键词: SAR成像, 并行运算, 硬件设计, x86, 算力配比

Abstract: SAR (Synthetic Aperture Radar), or synthetic aperture radar, is an active earth observation system. In recent years, SAR has gradually developed towards multi-platform, and has appeared on small mobile platforms such as unmanned aerial vehicles and probe vehicles. SAR imaging is an imaging program running on SAR. Due to the emergence of a new special operating environment, it has stricter requirements for low energy consumption and high computing power. How to provide high- performance, low-power application support for a specific platform has become a core point. This paper analyzes the characteristics of SAR imaging calculation and memory access, and specifically optimizes the program and tests the performance of the program on the x86 platform to obtain a reliable performance reference. On this basis, oriented to the hardware structure of the DSP+FFT accelerator, a mathematical model of computing power ratio is constructed to provide a solution for hardware design.


Key words: SAR imaging, parallel processing, hardware design, x86, computing power distribution ratio