• DocumentCode
    3307827
  • Title

    Design of N-way Dual-Frequency Power Divider Base on Genetic Algorithm

  • Author

    Wang Wei ; Li Wencheng ; Chen Dan

  • Author_Institution
    Coll. of Electron. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    274
  • Lastpage
    277
  • 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.
  • Keywords
    genetic algorithms; impedance matching; power dividers; transformers; transmission line theory; elitist strategy; even-odd mode analysis; formula derivation; genetic algorithm; impedance matching; isolation resisters; n-way dual-frequency power divider; premature convergence; software ADS; two-section transmission line transformers; Algorithm design and analysis; Analytical models; Convergence; Genetic algorithms; Genetic mutations; Performance analysis; Power dividers; Power transmission lines; Transformers; Transmission lines; Dual-frequency power divider; Genetic Algorithm; design optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.65
  • Filename
    4908263