• DocumentCode
    1423257
  • Title

    A scaleable, statistical SPICE Gummel-Poon model for SiGe HBTs

  • Author

    Walter, K.M. ; Ebersman, B. ; Sunderland, D.A. ; Berg, G.D. ; Freeman, G.G. ; Groves, R.A. ; Jadus, D.K. ; Harame, D.L.

  • Author_Institution
    Microelectron. Div., IBM Corp., Hopewell Junction, NY, USA
  • Volume
    33
  • Issue
    9
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    1439
  • Lastpage
    1444
  • Abstract
    A scaleable, statistical model has been developed for silicon germanium heterojunction transistors (SiGe HBTs), which are components of a commercially available BiCMOS technology for high-frequency applications. The SPICE Gummel-Poon (SGP) model parameters are scaled, and statistics added, using language features built into HSPICE, DC and AC fit is good over a wide range in emitter sizes, allowing an open-ended set of devices to be used with valid modeling capabilities. Features of IBM´s HBT technology that contribute to the scaleability of the technology are discussed
  • Keywords
    BiCMOS integrated circuits; Gaussian distribution; Ge-Si alloys; SPICE; heterojunction bipolar transistors; semiconductor device models; semiconductor materials; statistical analysis; BiCMOS technology; HSPICE; IBM HBT technology; SPICE Gummel-Poon model; SiGe HBTs; heterojunction transistors; high-frequency applications; model parameters; scaleable statistical model; Bipolar transistors; Circuit simulation; Current density; Equations; Germanium silicon alloys; Heterojunction bipolar transistors; Microelectronics; SPICE; Silicon germanium; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/4.711345
  • Filename
    711345