Title :
Characterization of Frequency Stability
Author :
Barnes, James A. ; Chi, Andrew R. ; Cutler, Leonard S. ; Healey, Daniel J. ; Leeson, David B. ; McGunigal, Thomas E. ; Mullen, James A. ; Smith, Warren L. ; Sydnor, Richard L. ; Vessot, Robert F. C. ; Winkler, Gernot M. R.
Author_Institution :
Time and Frequency Division, Institute for Basic Standards, NBS, Boulder, Colo. 80302.
fDate :
5/1/1971 12:00:00 AM
Abstract :
Consider a signal generator whose instantaneous output voltage V(t) may be written as V(t) = [V0 + ??(t)] sin [2??v0t + s(t)] where V0 and v0 are the nominal amplitude and frequency, respectively, of the output. Provided that ??(t) and ??(t) = (d??/(dt) are sufficiently small for all time t, one may define the fractional instantaneous frequency deviation from nominal by the relation y(t) - ??(t)/2??vo A proposed definition for the measure of frequency stability is the spectral density Sy(f) of the function y(t) where the spectrum is considered to be one sided on a per hertz basis. An alternative definition for the measure of stability is the infinite time average of the sample variance of two adjacent averages of y(t); that is, if yk = 1/t ??? tk+r = y(tk) y(t) dt where ?? is the averaging period, tk+1= tk + T, k = 0, 1, 2 ..., t0 is arbitrary, and T is the time interval between the beginnings of two successive measurements of average frequency; then the second measure of stability is ??y2(??) ??? (yk+1 - yk)2/2 where denotes infinite time average and where T = ??. In practice, data records are of finite length and the infinite time averages implied in the definitions are normally not available; thus estimates for the two measures must be used. Estimates of Sy(f) would be obtained from suitable averages either in the time domain or the frequency domain.
Keywords :
Noise; Stability analysis; Thermal stability; Time frequency analysis; Time measurement;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.1971.5570702