• DocumentCode
    1669560
  • Title

    A procedure for highly reproducible measurements of ADC spectral parameters

  • Author

    Nunzi, E. ; Carbone, P. ; Petri, D.

  • Author_Institution
    Dipt. di Ingegneria Elettronica e dell´´Informazione, Perugia Univ., Italy
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1049
  • Abstract
    The evaluation of spectral parameters characterizing analog-to-digital converters (ADC) can be addressed by employing both parametric and non-parametric techniques. Whatever the adopted testing techniques, the IEEE standards 1057 and 1241, which list the most effective ADC testing procedure, recommend the use of coherent sampling. Such a condition can not be guaranteed a priori with respect to spurious tones eventually present in the ADC output spectrum and data windowing is usually employed to reduce these phenomena. However, standards do not provide clear criteria for choosing the window that assure the maximum parameter estimation accuracy. The European draft standard Dynad suggests the employment of one out of seven optimal windows, in accordance to the ADC resolution. However, each sequence is characterized by distinctive parameters. Thus test automation may be reduced. In this paper the use of a class of windows that are defined by setting the mainlobe width value and that can be easily calculated by employing standard computational tools is proposed. Such sequences maximize also the estimation accuracy for any given ADC resolution, thus improving both measurement reproducibility and test automation. Experimental results that validate the effectiveness of the proposed window class are presented.
  • Keywords
    analogue-digital conversion; circuit testing; Dynad standard; IEEE standard; analog-to-digital converter; coherent sampling; data windowing; measurement reproducibility; nonparametric technique; parameter estimation; parametric technique; spectral parameters; test automation; Analog-digital conversion; Automatic testing; Automation; Discrete Fourier transforms; Employment; Frequency estimation; Gaussian noise; Parameter estimation; Reproducibility of results; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-7218-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2002.1007100
  • Filename
    1007100