基于粒子群优化算法的FIR数字滤波器设计

New design approach to FIR filter based on particle swarm optimization algorithm

探讨FIR数字滤波器设计的粒子群优化算法及其实现.它根据预期频率特性的设计要求,建立优化模型,并通过快速粒子群算法求解其优化值.所得的序列使对应FIR滤波器较好地满足了预期频率特性指标,设计方法简单实用,具有很高的灵活性和鲁棒性.并且较遗传算法有更快的收敛速度,数值实验表明了本方法的有效性.

In this paper we put forward a new design FIR method though particle swarm optimization （PSO） Base on the target frequency characteristics, we establish the optimization model and solve it by high speed PSO algorithm. The result can make the FIR filter perfectly fit the requirement of target characteristics. The method is simple and practical with high flexibility and robustness. Numerical experiments prove the efficiency of this method.