• DocumentCode
    820198
  • Title

    Nyquist-Rate Current-Steering Digital-to-Analog Converters With Random Multiple Data-Weighted Averaging Technique and Q^{N} Rotated Walk Switching Scheme

  • Author

    Lee, Da-Huei ; Lin, Yu-Hong ; Kuo, Tai-Haur

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan City
  • Volume
    53
  • Issue
    11
  • fYear
    2006
  • Firstpage
    1264
  • Lastpage
    1268
  • Abstract
    In this brief, Nyquist-rate current-steering digital-to-analog converters (DACs) applying the random multiple data-weighted averaging (RMDWA) technique and the QN rotated walk switching scheme are proposed such that high spurious-free dynamic range (SFDR) and small maximum output error can be achieved without calibrations, which are area and power consuming. RMDWA suppresses the harmonics caused by element mismatches to gain high SFDR performance. Furthermore, QN rotated walk can lower the maximum output error when RMDWA and Q N rotated walk are employed simultaneously. Because the benefits of both dynamic element matching technique and switching scheme are obtained by the proposed DAC structure, the proposed structure can deliver smaller maximum output errors than traditional randomization techniques even if a low-cost small-area DAC with poor matching property is adopted
  • Keywords
    digital-analogue conversion; harmonics suppression; SFDR performance; current-steering DAC; digital-to-analog converters; dynamic element matching; harmonics suppression; random multiple data-weighted averaging; spurious-free dynamic range; switching scheme; Calibration; DC generators; Data conversion; Digital-analog conversion; Dynamic range; Frequency; Linearity; Performance gain; Signal synthesis; Switching converters; Digital-to-analog converters (DACs); dynamic element matching (DEM); spurious-free dynamic range (SFDR); switching scheme;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Express Briefs, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-7747
  • Type

    jour

  • DOI
    10.1109/TCSII.2006.882355
  • Filename
    4012390