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一种RBF神经网络辅助设计的新型微带双模滤波器
引用本文:刘海文.一种RBF神经网络辅助设计的新型微带双模滤波器[J].电波科学学报,2009,24(2).
作者姓名:刘海文
作者单位:华东交通大学信息工程学院,江西,南昌,330013
基金项目:中国科学院"百人计划"项目,中国科学院王宽诚科研奖励项目 
摘    要:通过引入弯折型马刺线,提出了一种新型微带双模滤波器。该结构降低了传统微带双模滤波器的耦合损耗,减小了滤波器尺寸,并具有良好的可调节带通特性。给出了该滤波器的模式激励与耦合工作机理的物理解释,并提出结合RBF神经网络方法,外推滤波器结构参数的设计方法。该滤波器实验结果与预测结果吻合良好。

关 键 词:微带  双模  低损耗  马刺线  神经网络

A novel microstrip dual-mode filter design based on RBF neural network CAD
LIU Hai-wen.A novel microstrip dual-mode filter design based on RBF neural network CAD[J].Chinese Journal of Radio Science,2009,24(2).
Authors:LIU Hai-wen
Affiliation:LIU Hai-wen(School of Information Engineering,East China Jiaotong University Shuanggang Rd.,Changbei,Nanchang Jiangxi 330013,China)
Abstract:A novel dual-mode microstrip filter by mounting a pair of meandered spurline on a traditional patch is given in this paper.Compared with the conventional dual-mode one,the proposed filter configuration has advantages of compact size,low-insertion-loss and adjustable pass band characteristics.Moreover,the excitation mechanism of dual-mode filter is presented and a CAD method based on RBF neural network is applied to optimize the filter design.Finally,a good agreement is obtained between measured and predicte...
Keywords:microstrip  dual-mode  low-loss  spurline  neural network  
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