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作 者:WU Qingqiang CHEN Jianzhong WU Zengqiang GONG Hongwei
机构地区:[1]National Key Laboratory of Antennas and Microwave Technology,Shaanxi Joint key Laboratory of Graphene,Xidian University,Xi'an 710071,China [2]ZTE Corporation,Shenzhen 518057,China
出 处:《ZTE Communications》2022年第3期70-76,共7页中兴通讯技术(英文版)
基 金:supported by the National Natural Science Foundation of China(NSFC)under project no.62071357;the Fundamental Research Funds for the Central Unive rsities。
摘 要:A new optimization method is proposed to realize the synthesis of duplexers.The traditional optimization method takes all the variables of the duplexer into account,resulting in too many variables to be optimized when the order of the duplexer is too high,so it is not easy to fall into the local solution.In order to solve this problem,a new optimization strategy is proposed in this paper,that is,two-channel filters are optimized separately,which can reduce the number of optimization variables and greatly reduce the probability of results falling into local solutions.The optimization method combines the self-adaptive differential evolution algorithm(SADE)with the Levenberg-Marquardt(LM)algorithm to get a global solution more easily and accelerate the optimization speed.To verify its practical value,we design a 5 G duplexer based on the proposed method.The duplexer has a large external coupling,and how to achieve a feed structure with a large coupling bandwidth at the source is also discussed.The experimental results show that the proposed optimization method can realize the synthesis of higher-order duplexers compared with the traditional methods.
关 键 词:OPTIMIZATION self-adaptive differential evolution algorithm LM optimization algorithm filter synthesis DUPLEXER
分 类 号:TN929.5[电子电信—通信与信息系统] TN631.2[电子电信—信息与通信工程]
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