• DocumentCode
    564122
  • Title

    RF varactor design based on evolutionary algorithms

  • Author

    Pereira, Pedro ; Fino, Helena ; Ventim-Neves, M.

  • Author_Institution
    Dept. de Eng. Electrotec., Univ. Nova de Lisboa, Caparica, Portugal
  • fYear
    2012
  • fDate
    24-26 May 2012
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    This paper introduces an optimization methodology for the design of RF varactors. The characterization of the varactor behaviour is supported by a set of equations based on technological parameters, granting the accuracy of the results, as well as the adaptability of the model to any technology. The varactor design is achieved through the implementation of a Genetic Algorithms (GA) optimization methodology, which is able to deal with continuous and/or discrete variables, making possible to suit both technological and layout constraints. A set of working examples for UMC130 technology are addressed. The results presented, spotlight the potential of varactor analytical model, combined with a GA optimization procedure, when integrated in optimization design tools. The accuracy of the results is checked against HSPICE simulator.
  • Keywords
    circuit optimisation; genetic algorithms; varactors; GA optimization procedure; RF varactor design; UMC130 technology; continuous variable; discrete variable; evolutionary algorithm; genetic algorithm optimization methodology; optimization design tool; optimization methodology; varactor analytical model; Capacitance; Genetic algorithms; Integrated circuit modeling; Mathematical model; Optimization; Transistors; Varactors; Discrete-Variable Optimization; Evolutionary Algorithms; Technology-aware Varactor Design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits and Systems (MIXDES), 2012 Proceedings of the 19th International Conference
  • Conference_Location
    Warsaw
  • Print_ISBN
    978-1-4577-2092-5
  • Type

    conf

  • Filename
    6226193