• DocumentCode
    709407
  • Title

    Optimization of ultra-wideband LNA using a single CRLH TL cell matching circuit with hybrid genetic-nelder mead algorithm

  • Author

    Karataev, T. ; Gunes, F. ; Demirel, S. ; Belen, M. Ali

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Yildiz Tech. Univ., Istanbul, Turkey
  • fYear
    2015
  • fDate
    22-26 March 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this work, an optimization of an Ultra-Wideband Low-Noise Amplifier (LNA) using a single symmetric Composite Right/Left-Handed Transmission Line (CRLH TL) cell in the balanced condition is presented by hybrid Genetic and Nelder-Mead Algorithm (GA-NMA). The GA-NMA multi-objective optimization is implemented independently to determine LC parameters for the maximum power delivery considering optimum tradeoff between mismatching levels at the input and output port of the transistor for a predetermined noise figure provided that the balance condition and the optimal value of the transition frequency are ensured. Finally, the designed LNA is simulated using Sonnet simulator.
  • Keywords
    genetic algorithms; high-frequency transmission lines; low noise amplifiers; ultra wideband technology; LC parameters; Sonnet simulator; balanced condition; hybrid genetic-Nelder Mead algorithm; mismatching levels; multiobjective optimization; predetermined noise figure; single CRLH TL cell matching circuit; single symmetric composite right/left-handed transmission line cell; transition frequency; ultra-wideband LNA; ultra-wideband low-noise amplifier; Algorithm design and analysis; Low-noise amplifiers; Noise figure; Optimization; Power transmission lines; Transistors; Ultra wideband technology; Composite Right/Left-Handed Transmission Lines; Hybrid Genetic-Nolder Mead Algorithm; Low-Noise Amplifier; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Electromagnetics (ACES), 2015 31st International Review of Progress in
  • Conference_Location
    Williamsburg, VA
  • Type

    conf

  • Filename
    7109737