• DocumentCode
    3372195
  • Title

    A predictive methodology for accurate substrate parasitic extraction

  • Author

    Sharma, Ajit ; Xu, Chenggang ; Chu, Wen Kung ; Verghese, Nishath K. ; Fiez, Terri S. ; Mayaram, Kartikeya

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    23-26 May 2004
  • Abstract
    A methodology for determining the substrate profile for accurate prediction of parasitics using Green´s function based substrate extractors is presented. The technique requires fabrication of only a few test structures and results in an accurate three layered approximation. The substrate resistances are accurate to within 10% measurements. This methodology can be used along with scalable macromodel for a qualitative pre-design and pre-layout estimation of the digital switching noise that couples though the substrate to sensitive analog/RF circuits.
  • Keywords
    Green´s function methods; calibration; circuit optimisation; integrated circuit measurement; integrated circuit modelling; integrated circuit noise; substrates; Green function; RF circuits; analog circuits; digital switching noise; predesign automation; predictive methodology; prelayout estimation; scalable macromodel; substrate extractors; substrate parasitic extraction; substrate profile; substrate resistances; test structures; Calibration; Circuit noise; Contracts; Coupling circuits; Electrical resistance measurement; Fabrication; Integrated circuit noise; Optimization methods; Radio frequency; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
  • Print_ISBN
    0-7803-8251-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.2004.1329484
  • Filename
    1329484