• DocumentCode
    783344
  • Title

    A/D converters nonlinearity measurement and correction by frequency analysis and dither

  • Author

    Adamo, Francesco ; Attivissimo, Filippo ; Giaquinto, Nicola ; Trotta, Amerigo

  • Author_Institution
    Dept. of Electrics & Electron., Polytech. of Bari, Italy
  • Volume
    52
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1200
  • Lastpage
    1205
  • Abstract
    In this paper, a new frequency-domain approach to measure and correct the static nonlinearity error of analog-to-digital converters is analyzed. The nonlinearity is measured as a linear combination of the Chebyshev polynomials, whose coefficients are derived via frequency-domain analysis, and corrected with a nonlinear equation solving method, which makes use of the parametric form of the static characteristics. The proposed methodology is especially suited for dithered converters, due to their particular features of smoother nonlinearity and very high resolution. Both simulation and experimental results are reported, quantifying also the achieved increase of effective bits.
  • Keywords
    Chebyshev approximation; analogue-digital conversion; fast Fourier transforms; frequency-domain analysis; linearisation techniques; A/D converters; ADC nonlinearity measurement; Chebyshev polynomial coefficients; FFT; analog-to-digital converters; dither techniques; dithered converter resolution; fast Fourier transform; frequency-domain analysis; linearization method; nonlinear equation solving method; nonlinearity correction; static characteristics parametric form; static nonlinearity error; Analog-digital conversion; Chebyshev approximation; Error correction; Frequency conversion; Frequency domain analysis; Frequency measurement; Legged locomotion; Noise measurement; Shape measurement; Testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2003.815981
  • Filename
    1232368