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基于改进遗传算法的双频滤波器自动设计
引用本文:谈敏,蔡钧. 基于改进遗传算法的双频滤波器自动设计[J]. 无线电工程, 2012, 42(10): 48-50
作者姓名:谈敏  蔡钧
作者单位:扬州大学信息工程学院,江苏扬州,225127
摘    要:双频滤波器(Daul-band Filter)广泛应用于各类无线通信系统。采用K-Medoids聚类算法对种群进行分类,对选择、交叉和变异等环节进行算法改进,在不预先确定滤波器结构的情况下,对滤波器的结构和元件参数进行全局优化,自动配置滤波器内部结构及其元件参数,不依赖先验数据而获得最优解。通过C程序实现算法,并在Matlab软件中计算结果,用ADS验证了设计结果,证明了该方法适用于工程应用。

关 键 词:双频滤波器  遗传算法  算法改进  K-Medoids聚类

Auto Design of Dual-band Filter Based on Improved Genetic Algorithm
TAN Min,CAI Jun. Auto Design of Dual-band Filter Based on Improved Genetic Algorithm[J]. Radio Engineering of China, 2012, 42(10): 48-50
Authors:TAN Min  CAI Jun
Affiliation:( College of Information. Engineering, Yangzhou University, Yangzhou Jiangsu 225127, China)
Abstract:Dual-band filter is widely used in all kinds of wireless communication systems. Population is classified using K-Me- doids clustering algorithm;selection, crossover and mutation of the Canonical Algorithms are improved. The structure of the filter and parameters of components are globally optimized when the structure of the filter is unknown. The algorithm configures the internal struc- ture of the filter and provides the parameters of the components automatically. Optimum solution will be obtained without knowing the structure of the filter and parameters of components. The algorithm is designed using C programming language. The structure and pa- rameters are calculated in Matlab and validated in ADS. The design method is adaptable to engineering applications.
Keywords:dual-band filter  genetic algorithm  algorithm optimization  K-Medoids clustering
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