红外复杂背景滤波算法的FPGA实现

Implementation of Filtering Algorithm at Infrared Complex Background by FPGA

为了从红外复杂背景下检测弱小目标,提出了增强型高通滤波算法,并且采用大规模可编程逻辑器件FPGA实现了增强型算法,从而解决了系统应用中的实时性问题,在系统中得到了验证。实验结果表明:用FPGA实现的增强型高通滤波器具有运算速度快、可靠性高、功耗低等特点,非常适合制导系统使用。

This paper presents an enhanced high-pass filtering algorithm for detecting small and dimmed infrared target from background clutter, and implements this algorithm in a Mega-gate FPGA to meet the real-time requirements in a guidance system. Experimental results show that the FPGA-based filter, which has some features of high speed, high reliability and low power consumption, is suitable for guidance system.