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NIST Technical Note 1337: Characterization of Clocks and Oscillators

NIST Technical Note 1337: Characterization of Clocks and Oscillators

NIST Technical Note 1337: Characterization of Clocks and Oscillators

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12 FREQUENCY AND TIME MEASUREMENT213allocation. By rderring to tables <strong>of</strong> the chi-squared distribution, one findsthat for 10 degrees <strong>of</strong> freedom (df = 10) the 5% <strong>and</strong> 95~~ points correspond to(12-37)Thus, with 90~~ probability the calculated sample variance s; = 3 satisfies theinequality<strong>and</strong> this inequality can be rearranged in the form3.94 < (df)s;/CT; < 18.3, (12-38)1.64 < a; < 7.61. (12-39)The estimate s; = 3 is a point estimate. The estimate 1.64 < a; < 7.61 isan interval estimate <strong>and</strong> should be interpreted to mean that 90% <strong>of</strong> the timethe interval calculated in this manner will contain the true 11;.12.1.8 Efficient Use <strong>of</strong> the Data <strong>and</strong> Determination <strong>of</strong> theDegrees <strong>of</strong> FreedomTypically, the sample variance is calculated from a data set using therelation1 NS2 ::::::-- L (~ - Z)2 (12-40)- N - 1 11=1 -II ,where it is implicitly assumed that the z..'s are r<strong>and</strong>om <strong>and</strong> uncorrelated (i.e.,white) <strong>and</strong> where zis the sample mean calculated from the same data set. Ifall<strong>of</strong> this is true, then S2 is chi-squared distributed <strong>and</strong> has N - 1 degrees <strong>of</strong>freedom.Consider the case <strong>of</strong> two oscillators being compared in phase with N values<strong>of</strong> the phase difference obtained at equally spaced intervals To' From these Nphase values one obtains N - 1 consecutive values <strong>of</strong> average frequency, <strong>and</strong>from these one can compute N - 2 individual sample Allan variances (not allindependent) for r = To. These N - 2 values can be averaged to obtain anestimate <strong>of</strong> the Allan variance at T = To'The variance <strong>of</strong> this Allan variance has been calculated (Lesage <strong>and</strong>Audoin, 1973; Yoshimura, 1978). This approach is less versatile than themethod <strong>of</strong> the previous section since it yields only symmetric error limits.However, it is simple <strong>and</strong> easy to use. let 6(N) be the relative differencebetween the sample Allan variance <strong>and</strong> the true value. Thus,(12-41)IN-83

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