归一化积相关算法加速方法研究及FPGA实现

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。

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

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.