On 08/10/11 16:45, Jim Lux wrote:
On 10/7/11 9:32 PM, Rick Karlquist wrote:
I want to measure the short term stability of a source
with substantial linear drift. I would like some measure
of stability along the lines of Allan deviation, but I
only want to measure the "noise" and ignore the "drift".
AFAIK, ADEV treats linear drift like a form of noise.
Has this problem been solved before?
Any ideas?
what if you (least squares?) fit a straight line to the frequency
measurement data, remove that, then look at ADEV? We do something
similar with testing deep space transponders which will be handling a
signal with varying Doppler so our test signal is varying in frequency.
This is what a simple fit does or HDEV does. The benefit of higher
degrees fit is that it would cause better fits and high tau ADEV values
will be less poluted by the weaker terms.
For first degree effect, swap between ADEV and HDEV.
For second degree effect, use quadratic fit and ADEV that.
You still want to know the systematic behaviour and how those systematic
effects behave, but it would be fairly ridicolous to teach you Rick on
the merits of that.
Cheers,
Magnus
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