• DocumentCode
    2415461
  • Title

    Current mismatch and nonlinearity compensation in mixed-mode array processors

  • Author

    Marku, Joona ; Virtanen, Kati ; Maunu, Janne ; Poikonen, Jonne ; Paasio, Ari

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Turku, Turku
  • fYear
    2008
  • fDate
    14-16 July 2008
  • Firstpage
    75
  • Lastpage
    80
  • Abstract
    A combination selection based device mismatch calibration for mixed-mode array processors is discussed. Clear benefits in implementation area and accuracy, compared to large transistors can be reached by using mismatch calibration which is based on the combination selection of minimum-sized transistors. By utilizing the in-cell memory elements present in a mixed-mode array processor in the compensation, the area benefits can be further significantly increased. Two separate calibration cases are discussed in this paper. In the first case, a structure for mismatch calibration in current references is examined. In the second case, a structure for calibrating mismatch and linearity errors in current mirrors is proposed. All structures in the paper have been designed and simulated using 90 nm digital CMOS technology.
  • Keywords
    CMOS integrated circuits; cellular neural nets; mixed analogue-digital integrated circuits; CMOS technology; Cellular processor arrays; device mismatch calibration; incell memory elements; minimum-sized transistors; mixed-mode array processors; nonlinearity compensation; Application software; CMOS technology; Calibration; Cellular neural networks; Circuits; Gray-scale; Linearity; Manufacturing; Mirrors; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2008. CNNA 2008. 11th International Workshop on
  • Conference_Location
    Santiago de Compostela
  • Print_ISBN
    978-1-4244-2089-6
  • Electronic_ISBN
    978-1-4244-2090-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2008.4588653
  • Filename
    4588653