• DocumentCode
    2646753
  • Title

    A Stochastic Integral Equation Method for Resistance Extraction of Conductors with Random Rough Surfaces

  • Author

    Chen, Quan ; Wong, Ngai

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ.
  • fYear
    2006
  • fDate
    12-15 Dec. 2006
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    Due to the decreasing skin depth in high-frequency analog and digital circuits, surface roughness is playing an increasingly important role in interconnect parasitic extraction. However, the inaccessibility of detailed surface description and the complicated electromagnetic (EM) nature baffle satisfactory solutions to this kind of problems. In this paper, a new stochastic integral equation method is proposed to quantitively evaluate the impact of surface roughness on the frequency-dependent resistance extraction for interconnects. The surface information is given by statistical description instead of explicit functions. The direct derivation of the expected value of the surface integral equation of the EM wave eliminates the need of time-consuming Monte Carlo simulations. Numerical results verify the accuracy of the proposed method
  • Keywords
    Monte Carlo methods; feature extraction; integral equations; multiconductor transmission lines; stochastic processes; surface roughness; EM waves; Monte Carlo simulations; conductor resistance extraction; frequency-dependent resistance extraction; high-frequency analog-digital circuits; interconnect parasitic extraction; random rough surfaces; stochastic integral equation method; surface integral equation; Conductors; Data mining; Digital circuits; Integral equations; Integrated circuit interconnections; Rough surfaces; Skin; Stochastic processes; Surface resistance; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
  • Conference_Location
    Yonago
  • Print_ISBN
    0-7803-9732-0
  • Electronic_ISBN
    0-7803-9733-9
  • Type

    conf

  • DOI
    10.1109/ISPACS.2006.364916
  • Filename
    4212303