• DocumentCode
    171040
  • Title

    Efficient statistical analysis of microwave circuits using decoupled polynomial chaos

  • Author

    Nabavi, Seyed Ghavamoddin ; Gad, Emad ; Nakhla, Michel ; Achar, Ramachandra

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2014
  • fDate
    1-6 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new approach to statistically characterize the variability of the steady-state analysis which results due to uncertainty in the design parameters. The new approach is based on the concept of Polynomial Chaos (PC). However, unlike the traditional PC, the proposed approach adopts a new mathematical formulation that decouples the PC problem into several problems with smaller size that can be analyzed much more efficiently.
  • Keywords
    chaos; microwave circuits; polynomials; statistical analysis; PC; decoupled polynomial chaos; design parameters; mathematical formulation; microwave circuits; statistical analysis; steady-state analysis; Chaos; Gold; Integrated circuits; Jacobian matrices; Standards; Circuit Analysis; Polynomial Chaos; Statistical Analysis; Uncertainty Quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Symposium (IMS), 2014 IEEE MTT-S International
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/MWSYM.2014.6848310
  • Filename
    6848310