Abstract: In this paper，the design of FIR filters based on Particle Swarm Optimization algorithm are introduced，and a high-pass filter has been designed by this method.Comparing with the Parks-McClellan algorithm，the FIR digital filter designed by PSO algorithm has smaller pass-band ripple and bigger stop-band attenuation.The effectiveness and superiority of the introduced method are demonstrated by the experimental results on the mixed-signal which is filtered by these two filters designed by these two algorithm.

摘要： 介绍了基于粒子群优化算法的FIR数字滤波器的设计方法，并用该方法设计了一个高通滤波器。与用Parks-McClellan算法设计的高通滤波器进行了对比，发现基于粒子群优化算法的FIR滤波器的通带波动更小，阻带衰减更大。将用这两种算法设计的滤波器作用于混频信号，得出的结果也证明了基于粒子群优化算法的FIR滤波器的有效性。