• DocumentCode
    746264
  • Title

    Layout-based statistical modeling for the prediction of the matching properties of MOS transistors

  • Author

    Conti, Massimo ; Crippa, Paolo ; Orcioni, Simone ; Turchetti, Claudio

  • Author_Institution
    Dipt. di Elettronica e Autom., Ancona Univ., Italy
  • Volume
    49
  • Issue
    5
  • fYear
    2002
  • fDate
    5/1/2002 12:00:00 AM
  • Firstpage
    680
  • Lastpage
    685
  • Abstract
    A new methodology for statistical mismatch analysis of MOS transistor pairs is presented. Size and shape, as well as placement and partitioning of devices are taken into account by using a statistical approach based on stochastic process theory. The method depends on device geometry and mutual distances between devices and has been developed by first defining a transformation which maps the statistical behavior of the technological parameters considered as sources of errors into the behavior of device parameters. A useful expression for the parameter mismatch variance depending on the layout has been derived by assuming a particular form for the autocorrelation function of process parameters. Finally, the method has been used to analyze and compare the mismatch effect on several interdigitated and common-centroid structures
  • Keywords
    MOS integrated circuits; VLSI; integrated circuit layout; integrated circuit modelling; statistical analysis; MOS transistors; VLSI; autocorrelation function; common-centroid structures; device geometry; interdigitated structures; layout-based statistical modeling; matching properties; mutual distances; partitioning; placement; process parameters; statistical mismatch analysis; stochastic process theory; technological parameters; transistor pairs; Autocorrelation; Circuits; Displays; Geometry; MOSFETs; Predictive models; Random variables; Shape; Stochastic processes; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/TCSI.2002.1001958
  • Filename
    1001958