基于遗传算法的FIR滤波器设计

提出一种FIR数字滤波器的优化设计方法,即将遗传算法应用于频率采样法的FIR数字滤波器设计中。结合给定的FIR数字带通滤波器的技术指标,用遗传算法得到频率采样法中过渡带的最佳采样值,并分别用遗传算法与查表法对过渡带中采样点的频率采样法进行仿真实现。实验结果表明,采用遗传算法设计FIR数字滤波器可获得最大的阻带最小衰减,从而解决了传统查表法不能保证最优的问题。

FIR Filter Design based on Genetic Algorithms

This paper gives the optimal FIR filter design based on genetic algorithms（GA）.With band-pass FIR digital filter as an example,the best sample values are found through the transitional band by GA,and the frequency sampling is simulated respectively by GA and table searching method.Experimental results show that the maximum stop-band minimum attenuation could be obtained via GA,thus solving the problem that the optimal value could not be obtained by table searching method.