• DocumentCode
    2487042
  • Title

    Analyzing via impedance variations with a stochastic collation method

  • Author

    Shen, Jianxiang ; Wang, Hanfeng ; Chen, Ji ; Fan, Jun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Houston, Houston, TX, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    552
  • Lastpage
    556
  • Abstract
    In this paper, we describe a systematic approach to optimize and analyze the equivalent characteristic impedance of practical via structures. The procedure consists of (a) optimizing via structures for impedance matching using a Genetic algorithm, and (b) numerically characterize, by stochastic collocation method, the sensitivity of the equivalent characteristic impedance to the manufacturing uncertainties in the various geometrical parameters of a via structure. Such procedure naturally leads to a rigorous methodology for EM design/control in the presence of multiple sources of uncertainty.
  • Keywords
    electromagnetic compatibility; genetic algorithms; impedance matching; stochastic processes; EM control; EM design; equivalent characteristic impedance; genetic algorithm; geometrical parameter; impedance matching; stochastic collation method; via impedance variation; via structure; Electromagnetics; Impedance; Integrated circuit modeling; Mathematical model; Monte Carlo methods; Optimization; Stochastic processes; numerical analysis; optimization; stochastic collocation method; via impedance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility (EMC), 2010 IEEE International Symposium on
  • Conference_Location
    Fort Lauderdale, FL
  • ISSN
    2158-110X
  • Print_ISBN
    978-1-4244-6305-3
  • Type

    conf

  • DOI
    10.1109/ISEMC.2010.5711336
  • Filename
    5711336