基于粒子群优化算法的模拟滤波器设计

Design of Analog Filter Based on Particle Swarm Optimization Algorithm

采用传统的网络综合法设计滤波器存在带宽不精确及阻带衰减过小的问题,为此,提出一种基于粒子群优化算法的无源模拟滤波器优化设计方法。在网络综合法设计的滤波器电路基础上,利用粒子群优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值。实例表明,采用该方法设计的滤波器带宽更加准确,且具有更加陡峭的阻带衰减。

As for the problem of the filter’s bandwidth imprecision and stop-band attenuation too small,a passive analog filter optimization design method is proposed based on the Particle Swarm Optimization（PSO） algorithm.The filter is designed by the network synthesis design method,and it optimizes the circuit’s parameters in the whole parameters space effectively and globally by PSO until gain the best parameters.This method can improve the filter’s bandwidth imprecision and the high stop-band suppression