{"title":"Design of N-way Dual-Frequency Power Divider Base on Genetic Algorithm","authors":"Wei Wang, Wencheng Li, Dan Chen","doi":"10.1109/NSWCTC.2009.65","DOIUrl":null,"url":null,"abstract":"A N-way dual-frequency power divider designed with genetic algorithm is proposed. The structure of power divider is composed of n two-section transmission line transformers and n isolation resisters. After even-odd mode analysis with ideal transmission-line model, the optimal parameters are obtained with genetic algorithm. In the genetic algorithm, elitist strategy, crossover and mutation of changing probability are preserved to prevent premature convergence, and to avoid complex formula derivation, one can get the optimized results rapidly and efficiently. The performance of the power divider is analyzed by simulation with software ADS. The results show that impedance is matching at all ports and isolation meet the application requirements.","PeriodicalId":433291,"journal":{"name":"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSWCTC.2009.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A N-way dual-frequency power divider designed with genetic algorithm is proposed. The structure of power divider is composed of n two-section transmission line transformers and n isolation resisters. After even-odd mode analysis with ideal transmission-line model, the optimal parameters are obtained with genetic algorithm. In the genetic algorithm, elitist strategy, crossover and mutation of changing probability are preserved to prevent premature convergence, and to avoid complex formula derivation, one can get the optimized results rapidly and efficiently. The performance of the power divider is analyzed by simulation with software ADS. The results show that impedance is matching at all ports and isolation meet the application requirements.