• DocumentCode
    1059522
  • Title

    Oscillator noise analysis: multivariance measurement

  • Author

    Vernotte, Francois ; Lantz, Eric ; Groslambert, Jacques ; Gagnepain, J.J.

  • Author_Institution
    Obs. de Besancon, France
  • Volume
    42
  • Issue
    2
  • fYear
    1993
  • fDate
    4/1/1993 12:00:00 AM
  • Firstpage
    342
  • Lastpage
    350
  • Abstract
    Since the noise altering the output signal of oscillators may be modeled as power laws in the spectral density of frequency deviation, oscillator noise analysis is the measurement of the level of each power law noise. The principle of this new multivariance method consists of obtaining the noise-type contributions with different variances and different integration time values. All the data obtained from the different variances with the different integration times are then operated simultaneously. Thus, the most probable measurement, in the sense of least squares, is obtained for each type of noise. This method lends itself to an estimation of the uncertainty of the noise-type contribution measurement, taking into account the dispersion of the variance results
  • Keywords
    least squares approximations; network analysis; oscillators; parameter estimation; random noise; frequency deviation; least squares; multivariance measurement; multivariance method; oscillator noise analysis; power laws; spectral density; uncertainty; Density measurement; Electromagnetic interference; Frequency measurement; Noise level; Noise measurement; Oscillators; Phase noise; Power measurement; Signal analysis; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.278579
  • Filename
    278579