• DocumentCode
    1842201
  • Title

    System identification -based reduced-code testing for pipeline ADCs’ linearity test

  • Author

    Xing, Hanqing ; Chen, Degang ; Geiger, Randall ; Jin, Le

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    2402
  • Lastpage
    2405
  • Abstract
    This work presents a system identification-based reduced-code testing method for pipeline ADC´s linearity test. In the method, the pipeline ADC under test is identified by characterizing the two most critical parameters in each stage, the stage gain and the comparator offset. The transfer function is investigated to obtain the effects of the gain error and comparator offset on ADC´s linearity performance. With the measurements of a small set of specific transition levels or code bin widths, the system parameters of interest can be achieved using only straightforward linear calculations. The identified model is then used to compute the ADC´s full-code linearity performance. Comparing to standard histogram-based full-code linearity test methods, the proposed method can reduce the data capture time by a factor of several hundreds without appreciably degrading the testing accuracy. Both simulation results and experimental results are included to demonstrate the efficacy of the proposed method.
  • Keywords
    analogue-digital conversion; circuit testing; full-code linearity performance; pipeline ADC linearity test; reduced-code testing; system identification; Automatic testing; Circuit testing; Costs; Linearity; Performance gain; Pipelines; System identification; System testing; Transfer functions; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541939
  • Filename
    4541939