• DocumentCode
    3662697
  • Title

    Practical modeling of comparator metastability for conventional and LSB-first SAR ADCs

  • Author

    Allen Waters;Un-Ku Moon

  • Author_Institution
    School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, 97330, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A practical model for characterizing comparator metastability errors in SAR ADCs is presented. Previous work used uniformly-distributed ADC input signals to calculate signal-to-metastability error ratio (SMR), in the interest of making the derivation easy. The contributions of this work are three-fold: first, it is shown that for characterizing metastability it is more reasonable to use input signals with normal or Laplace distributions. Second, it is shown that the simplifying assumptions in previous work overestimated SMR by as much as 18dB compared to this more accurate analysis. Finally, it is shown that LSB-first SAR ADCs achieve SMR performance equal to or better than conventional SARs, depending on bandwidth.
  • Keywords
    "Monte Carlo methods","Gaussian distribution","Bandwidth","Probability density function","Switches","MATLAB","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2015.7282156
  • Filename
    7282156