• DocumentCode
    1787730
  • Title

    Large-signal MOSFET modeling using frequency-domain nonlinear system identification

  • Author

    Moning Zhang ; Yang Tang ; Zuochang Ye

  • Author_Institution
    Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    2-6 Nov. 2014
  • Firstpage
    626
  • Lastpage
    632
  • Abstract
    Traditional BSIM MOSFET model extraction considers I-V/C-V curve fitting to capture DC non-linearity and S-parameter fitting to capture high-frequency small-signal behavior. This leads to poor accuracy when modeling MOSFETs in large-signal RF circuits such as power amplifiers, which require to model high-frequency large-signal behavior of MOSFETs. In this paper, we proposed an automatic method for automatically modeling high-frequency large-signal behavior for MOSFETs. The input is a pre-characterized MOSFET model and large-signal measurement data. The output is an enhanced model that model not only DC and S-parameter characteristics but also large-signal behavior. Experiments show that the proposed method can accurately capture both the nonlinear and dynamic behavior of RF MOSFET.
  • Keywords
    MOSFET; S-parameters; frequency-domain analysis; DC characteristics; RF circuits; S-parameter characteristics; dynamic behavior; frequency-domain nonlinear system identification; high-frequency large-signal behavior; large-signal measurement data; nonlinear behavior; power amplifiers; precharacterized MOSFET model; Data models; Integrated circuit modeling; MOSFET; Nonlinear dynamical systems; Radio frequency; Semiconductor device modeling; Testing; harmonic power spectrum; large-signal MOSFET model; non-linear dynamic model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2014 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/ICCAD.2014.7001418
  • Filename
    7001418