• 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

• 高性能计算 • 上一篇    下一篇

归一化积相关算法加速方法研究及FPGA实现

李红军1,2,郭阳1,贾润2   

  1. (1.国防科技大学计算机学院,湖南 长沙 410073;2.天津津航计算技术研究所,天津 300141)
  • 收稿日期:2019-03-01 修回日期:2019-06-13 出版日期:2019-11-25 发布日期:2019-11-25

A hardware acceleration method for the normalized
product correlation algorithm and its FPGA implementation

LI Hong-jun1,2,GUO Yang1,JIA Run2   

  1. (1.School of Computer,National University of Defense Technology,Changsha 410073;
    2.Tianjin Jinhang Institute of Computing Technology,Tianjin 300141,China)
  • Received:2019-03-01 Revised:2019-06-13 Online:2019-11-25 Published:2019-11-25

摘要:

随着飞航导弹向高效打击和提升智能的方向发展,为了保证打击的精确性,对地形匹配、目标识别的实时性要求也越来越高,单靠DSP软件进行图像处理的做法已经难以满足要求。根据FPGA实现数学运算的特点,提出了归一化积相关算法公式的化简方法,具有精度高、速度快的特点,并设计了积相关硬件加速电路单元架构和积相关多路并行计算架构,通过在FPGA上进行实现验证,能够满足新一代飞航导弹地形匹配及目标识别的实时性要求。

关键词: 归一化积相关算法, 并行计算, 硬件加速

Abstract:

With the trend that cruise missiles aim at high efficient attack and intelligent enhancement, only using DSP software to process images cannot satisfy the higher real-time requirements for terrain matching and target recognition. Therefore, according to the advantage of FPGA implementation on computation accelerating, this paper proposes a simplification method for the normalized product correlation algorithm formula, which has the characteristics of high precision and high speed, and designs the product correlation’s hardware acceleration unit and multi-channel parallel computing architecture. FPGA implementation verifies that the proposal can satisfy the real-time requirements for terrain matching and target recognition of the new generation of cruise missiles.
 

Key words: normalized product correlation, parallel computing, hardware acceleration