• DocumentCode
    1151459
  • Title

    Simulation and Analysis of Random Decision Errors in Clocked Comparators

  • Author

    Kim, Jaeha ; Leibowitz, Brian S. ; Ren, Jihong ; Madden, Chris J.

  • Author_Institution
    Rambus, Inc., Los Altos, CA, USA
  • Volume
    56
  • Issue
    8
  • fYear
    2009
  • Firstpage
    1844
  • Lastpage
    1857
  • Abstract
    Clocked comparators have found widespread use in noise sensitive applications including analog-to-digital converters, wireline receivers, and memory bit-line detectors. However, their nonlinear, time-varying dynamics resulting in discrete output levels have discouraged the use of traditional linear time-invariant (LTI) small-signal analysis and noise simulation techniques. This paper describes a linear, time-varying (LTV) model of clock comparators that can accurately predict the decision error probability without resorting to more general stochastic system models. The LTV analysis framework in conjunction with the linear, periodically time-varying (LPTV) simulation algorithms available from RF circuit simulators can provide insights into the intrinsic sampling and decision operations of clock comparators and the major contribution sources to random decision errors. Two comparators are simulated and compared with laboratory measurements. A 90-nm CMOS comparator is measured to have an equivalent input-referred random noise of 0.73 mVrms for dc inputs, matching simulation results with a short channel excess noise factor ?? = 2.
  • Keywords
    CMOS integrated circuits; clocks; comparators (circuits); error statistics; integrated circuit noise; network analysis; CMOS comparator; clocked comparators; decision error probability; linear time-invariant small-signal analysis; random decision errors; size 90 nm; Circuit analysis; circuit noise; circuit simulation; comparators;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Regular Papers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-8328
  • Type

    jour

  • DOI
    10.1109/TCSI.2009.2028449
  • Filename
    5175291