• DocumentCode
    2472296
  • Title

    Systematic development of nonlinear analog circuit macromodels through successive operator composition and nonlinear model decoupling

  • Author

    Wei, Ying ; Doboli, Alex

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stony Brook Univ., NY
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1023
  • Lastpage
    1028
  • Abstract
    This paper presents a systematic methodology for developing structural nonlinear macromodels for analog circuits. The methodology includes two steps: first, a nonlinear system is represented as a system with nonlinear inputs and linearly coupled blocks. Then, the linear couplings are removed. The methodology also uses description of circuit nonlinearities as a successive composition of three operators. The generated nonlinear models are scalable, tunable according to the required accuracy, and offer insight into the circuit operation
  • Keywords
    analogue circuits; coupled circuits; nonlinear network analysis; analog circuits; circuit nonlinearities; nonlinear macromodels; nonlinear model decoupling; successive operator composition; Algorithm design and analysis; Analog circuits; Analytical models; Circuit optimization; Circuit simulation; Coupling circuits; Linearity; Mathematical model; Nonlinear distortion; Nonlinear systems; Algorithms; Analog circuits; Design; Nonlinear macromodel; Structural macromodel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2006 43rd ACM/IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0738-100X
  • Print_ISBN
    1-59593-381-6
  • Type

    conf

  • DOI
    10.1109/DAC.2006.229431
  • Filename
    1688949