改进的遗传算法在FIR滤波器设计中的应用研究

Study on the Application of the Improved Genetic Algorithm in FIR Filter Design

文章提出一种改进的遗传算法,并将之应用于FIR数字滤波器的设计优化中。采用频率采样法,结合改进遗传算法,得到滤波器过渡带的最佳采样值,并与传统设计方法进行频谱的仿真比较。实验结果表明,基于遗传算法的FIR数字滤波器能获得更大的阻带最小衰减,性能较为优化。

This article comes up with an improved genetic algorithm and applies it to the optimization of FIR Filter. In addition, combining frequency sampling and the improved genetic algorithm （GA）, it calculates the best sample values as well as makes a simulation comparison with the traditional design method in spectrum. The experimental results indicate that the FIR filter based on the genetic algorithm can obtain the better stop-band attenuation and have the better frequency response.