• DocumentCode
    1179745
  • Title

    An analytical, aperture, and two-layer carrier diffusion MTF and quantum efficiency model for solid-state image sensors

  • Author

    Stevens, Eric G. ; Lavine, James P.

  • Author_Institution
    Microelctron. Technol. Group, Eastman Kodak Co., Rochester, NY, USA
  • Volume
    41
  • Issue
    10
  • fYear
    1994
  • fDate
    10/1/1994 12:00:00 AM
  • Firstpage
    1753
  • Lastpage
    1760
  • Abstract
    A two-dimensional analytical model is formulated for calculating the pixel response, modulation transfer function (MTF), and quantum efficiency of front-side illuminated, solid-state image sensors. Included in this unified model are the effects of lateral diffusion of charge carriers within a two-layer substrate and less than full pixel sampling apertures. The results of this model are compared to those of a numerical, three-dimensional Monte Carlo algorithm and to the analytical results reported by Blouke and Robinson. We find good agreement between the quantum efficiency and MTF calculated by the present model and by the three-dimensional Monte Carlo method. However, we find higher quantum efficiency and lower MTF than the previously reported analytical two-layer model. The unified aspect of the present model correctly combines the effects of sampling aperture and lateral diffusion
  • Keywords
    Monte Carlo methods; carrier lifetime; diffusion in solids; image sensors; optical transfer function; Monte Carlo algorithm; charge carriers; front-side illuminated; lateral diffusion; modulation transfer function; pixel response; quantum efficiency model; sampling apertures; solid-state image sensors; two-dimensional analytical model; two-layer carrier diffusion MTF; two-layer substrate; Algorithm design and analysis; Analytical models; Apertures; Charge carriers; Image sampling; Image sensors; Monte Carlo methods; Pixel; Solid state circuits; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.324584
  • Filename
    324584