• DocumentCode
    3361926
  • Title

    Characterization of random decision errors in clocked comparators

  • Author

    Leibowitz, B.S. ; Kim, J. ; Ren, J. ; Madden, C.J.

  • Author_Institution
    Rambus, Inc., Los Altos, CA
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    691
  • Lastpage
    694
  • Abstract
    Clocked comparators have found widespread use in noise sensitive applications such as wireline receivers, A/D converters, and memory bit-line detectors. However, their nonlinear, time-varying behavior and discrete output levels have discouraged the use of traditional small-signal noise simulation techniques such as NOISE in SPICE. This paper asserts that the periodic noise analysis available from RF circuit simulators can provide insight into the intrinsic sampling and decision operations of clocked comparators and help develop a linear periodically time-varying (LPTV) noise model that accurately predicts the decision error probability. Two comparators are simulated and compared to 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 gamma = 2.
  • Keywords
    CMOS integrated circuits; SPICE; analogue-digital conversion; comparators (circuits); random noise; A/D converters; CMOS comparator; NOISE; SPICE; clocked comparators; input-referred random noise; linear periodically time-varying noise model; memory bit-line detectors; noise sensitive applications; nonlinear time-varying behavior; periodic noise analysis; random decision errors; wireline receivers; Analytical models; Circuit noise; Circuit simulation; Clocks; Detectors; Noise level; Predictive models; Radio frequency; SPICE; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference, 2008. CICC 2008. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-2018-6
  • Electronic_ISBN
    978-1-4244-2019-3
  • Type

    conf

  • DOI
    10.1109/CICC.2008.4672180
  • Filename
    4672180