Allan Variance Estimated by Phase Noise Measurements

Abstract

For short measurement times, the Allan (or two-sample) variance can be determined from the phase noise using the mathematical conversion between time and frequency domain. This provides us with a useful tool to obtain the very short-term frequency stability in the time domain, which is difficult for a time-interval counter to measure because of its resolution limitations. Before carrying out the conversion, bias from the measurement system and uncorrelated noises to the DUT (device under test), e.g., power noise and environmental perturbations are considered and corrected in the raw data. By doing this, the proper characteristic of the DUT seems to be revealed reasonably. If the above-mentioned bias and noises were not corrected, the generated variance would be apart from the corrected one irregularly, depending on the sampling time. In this paper, both the numerical integration and the power-law model are used to practice the conversion.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA484554

Entities

People

  • Hao M. Peng
  • P. C. Chang
  • Shirley Lin

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Carrier Frequencies
  • Coefficients
  • Conversion
  • Correlation Techniques
  • Equations
  • Experimental Data
  • Frequency
  • Frequency Domain
  • Intervals
  • Measurement
  • Numerical Integration
  • Random Walk
  • Spectrum Analyzers
  • Standards
  • Time Domain
  • Time Interval Counters
  • Time Intervals

Readers

  • Image Processing and Computer Vision.
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Regression Analysis.