Post by Poul-Henning Kamp
Post by jimlux
What about doing some sort of fit to the measurement data before
calculating the ADEV? Similar to removing a linear ramp.
basically you'd solve for the three sine parameters (f, phase,
amp/deviation), then remove that from the data, then run the ADEV
That is incredibly shaky ground from a scientific point of view.
If you know the *source* of the bias you're trying to remove (i.e. you
know it's a sinusoidal frequency modulation), I don't know that it's any
different than removing long term drift.
As a practical example of where something like this is done, consider
measuring the Allan Deviation of a coherent deep space transponder that
is orbiting a moon or planet (i.e. there's a Doppler on both uplink and
Coherent transponders produce an output that is precisely a rational
fraction of the input frequency (e.g. for X-band 880/749 for a 7.15 GHz
input, 8.45 GHz out) and the frequency/phase of the received signal is
compared with the frequency/phase of the transmitted signal to measure
range and range rate to the spacecraft (as well as the propagation
properties of the path).
We'll test them with fixed frequency (put a spectrally pure tone in and
measure the ADEV of the , and back in the day when the "turnaround" was
done with all analog circuitry, you could be reasonably sure that the
whole thing would have comparable performance in a Doppler shifted
These days, the turnaround is implemented in digital logic, and in
particular, the receive carrier tracking loop is done digitally, and one
wants to make sure that it tracks "adequately" in the face of Doppler.
So one builds a test set that produces a well characterized frequency
modulated input (representative of the Doppler profile) and you make
your measurements, remove the Doppler profile (with the appropriate
phase ratio) and make your ADEV measurement.
[This, of course, means that you have to generate a waveform with good
ADEV for testing, a technical challenge in its own right]
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