The Optimal Design Method of FIR Filter Using the Improved Genetic Algorithm

被引：0

作者：

Zhao, An-Xin ^{[1
]}

Tang, Xiao-Jun ^{[2
]}

Zhang, Zhong-Hua ^{[3
]}

Liu, Jun-Hua ^{[2
]}

机构：

[1] Xi An Jiao Tong Univ, Xian Univ Sci & Technol, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China

[2] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian, Peoples R China

[3] Xi An Jiao Tong Univ, Natl Inst Metrol, State Key Lab Elect Insulat & Power Equipment, Xian, Peoples R China

来源：

PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2014年

关键词：

component; Genetic Algorithm; Finite Impulse Response filter; Frequency sampling method; Look-up table;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The design target of Finite Impulse Response (FIR) filter is to approximate the ideal filters on the request of a given designing filter specifications. Genetic algorithm is one of global optimal search algorithm of mimic biological evolution, but it has the precocious and slow convergence problems if it is directly applicated. Based on these problems, the adaptive selection algorithm was used to improve the choice of the crossover operator and its mutation operator for genetic algorithm. And then, the improved genetic algorithm was used to design and optimize the Finite Impulse Response (FIR) filter. Based on design features of FIR filter frequency sampling method, we used the improved genetic algorithm, Look-up table and references methods for compare their results. The results of the proposed method by MATLAB simulation showd that the proposed method can obtain better results in the same design specifications.

引用

页码：452 / +

页数：2

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