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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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Some noi se wi 11 cause thE!! instantaneous fre"quency to "jitter" aro ....nd u o • with probabl1ity <strong>of</strong>being higher or lower than ""0' We thus usuallyfind a I/lJedestal " associated with "0 as shown infigurE!' 8.4..,--·0FIGURE a.4ihe orocess <strong>of</strong> break.ing 110wna signal intoall <strong>of</strong> its various components <strong>of</strong> frequency iscalled Fourier exoansion (see 'Sec. X). Inother wordS,the. addition <strong>of</strong> all the frequencycomponent.s, called Fourier frequency components,produr:es the original signal. ihe value <strong>of</strong> aFouri er frequency i.sthe di fference between thefrequency component <strong>and</strong> the fundamental fr@quency.The power spectrum can be normalized to unity suchthat the tota1 area under the curve equa 1sane.The power spectrum normalized in this way is thepower spectral density,The power spectrum. <strong>of</strong>ten call ed the RFspectrum, <strong>of</strong> Vet) is ",ery useful in many appl i­cations~Unfortunately, if one is given the RFspectrum, it ;5 impossible to determine whetherthe power at different Fourier frequencies is aresult <strong>of</strong> amplitude fluctuations lIe(t)1I or phasefluctlJations '1¢J(t).The RF spectrum can be separatedinto two independent spectra, one being the'Spectral densi..!l <strong>of</strong> ~ <strong>of</strong>ten called the AMpower spectra) density <strong>and</strong> the other being thespectral densi~ <strong>of</strong> ~.For the purposes here~the phase-f1uctuationcomponents are the ones <strong>of</strong> interest. The spectraldensity <strong>of</strong> phase- fluctuations is denoted by S~(f)wherE!! IIf" is Fourier frequency. for the fre"quently encountered case where the AM power spec~tral d@nsity is negligibly small <strong>and</strong> the t.otalmOdulation <strong>of</strong> the phase fluctuations is small(mean-square value is much less than one rad2),the RFspectrum has approximately the same shapeas the phase spectral density_However, a maindifference in the representation is that the RFspectrum includes the fundamental $ignal (carrier),<strong>and</strong> the phase spectral density does not.Another major di fference is that the RFspectrumis a power spectral density <strong>and</strong> is measured inunits <strong>of</strong> watts/hertz.The phase spectral densityinvolves no II powerl' measurement <strong>of</strong> the electricalsignal. The units are radians·/hertz. It iste'"Pting to think. <strong>of</strong> S~(f) as a IIpowe~' spectraldens i ty because in practice it is measured bypassing Vet) through a phase detector <strong>and</strong> measuringthe detector's output power spectrum.The measure~ment technique makes use <strong>of</strong> the relation that forsmall deviations (6~ « 1 radian),5 (f) = (-,Vrm~s_(f_) )' (8.3)$ V,Where Vrms(f) is the root-mean"square noise.voltageper ./HZ at a Four1 er frequency II fll. <strong>and</strong> V ; s thessensitivity (volts per radian) at the phase quadratureoutput <strong>of</strong> a phase detector ~hlch15 comparingthe two oscillators. In the next section, we willlook at a scheme for directly measuring 5$(f).One question 'Wemight ask, is. IIMow do fre"quency changes relate to phase fluctuations?lIAfter all it's the frequency stability <strong>of</strong> anoscillator that ;s a major consideration in manyapplications.The frequency is equal to a rate <strong>of</strong>change. in the phase <strong>of</strong> a 'Sine wave.11'11'5 tells usthat fluctuations in an oscillator's output frequencyare related to phase fluctuations since wemust change the rate <strong>of</strong> ".(t)" to accomplish ashift in "V(t)ll, the frequency at time t. A rate<strong>of</strong> change <strong>of</strong> total u4'J~e have thenr(t)U is denoted by "*T(t)".lm>(t) ~ ~T(t) (8.4)The dot denotes the mathematical operation <strong>of</strong>differentiation on the function 4'J with respect torits independent variable t.;II From eq (8.4)• As an analogy, the same operation relates theposition <strong>of</strong> an object with its velocity.20TN-33

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