• DocumentCode
    3356658
  • Title

    Rapid, predictive measurement-based modeling for high frequency interconnect on FR4 substrate

  • Author

    Shin, Jaemin ; Kim, Jae Hong ; Cha, Cheolung ; Jokerst, Nan M. ; Brooke, Martin

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2005
  • fDate
    31 May-3 June 2005
  • Firstpage
    1835
  • Abstract
    In this paper, a predictive (scalable) measurement-based model for high frequency interconnects on low cost FR4 substrates is proposed and demonstrated. In our research, the interconnects are modeled with equivalent circuits of scalable building blocks using a rapid and accurate optimization method to fit parameters up to 10 GHz. This predictive model then is applied for the extended structures to enhance their flexibility. The usefulness of the proposed modeling methodology is validated by comparing predictions to measurements both in frequency domain and in time domain. The speed and accuracy of the method also are compared with the advanced design system´s momentum simulation tool. The results show that this proposed modeling for the high frequency interconnects is efficient and accurate compared to the momentum simulation.
  • Keywords
    circuit CAD; circuit simulation; equivalent circuits; integrated circuit interconnections; FR4 substrate; equivalent circuits; frequency domain; high frequency interconnect; momentum simulation tool; optimization method; predictive measurement-based modeling; time domain; Computational modeling; Costs; Electric variables measurement; Equivalent circuits; Frequency dependence; Frequency measurement; Integrated circuit interconnections; Predictive models; Timing; Transmission lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Components and Technology Conference, 2005. Proceedings. 55th
  • ISSN
    0569-5503
  • Print_ISBN
    0-7803-8907-7
  • Type

    conf

  • DOI
    10.1109/ECTC.2005.1442046
  • Filename
    1442046