Time Correction with PPS Signal Disciplined by GPS Receiver. Paolo Zoccarato, Tommaso Occhipinti, Ivan Capraro, Pietro Bolli, Filippo Messina, Massimiliano Belluso. PPS data analysis. Counts of the pps signal. Mini -T Trimple specification :. PPS acquired during Feige observation.
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Paolo Zoccarato, Tommaso Occhipinti,
Ivan Capraro, Pietro Bolli, Filippo Messina, Massimiliano Belluso
Counts of the pps signal
PPS acquired during
Counts differences of the pps signal
About 600 counts, i.e. ~15 ns
About 2150 counts, i.e. ~ 54 ns
Fit curve equation:
Removing the linear and
quadratic terms we obtain:
On average there is a 1 pps
every 40959748112.9816 counts,
then the real length of the
TDC initial reference period is:
The estimation error is about
137 counts, i.e. ~3.4 ns
Determined the real initial reference period we
convert the counts in time:
Now we must remove the residual error
respect to the ideal time due to
the oscillator drift and offset
The fit curve equation is:
The fit error is about 360 ns:
Removing the oscillator offset and drift
we obtain the stochastic residual of the
The estimated initial error phase,
offset and drift coefficients
can be used to correct the time tags of Feige.
The stochastic residuals are on the order of 10-6 [sec], according with the values of a quartz oscillator.
The residual noise is a flicker phase noise (see figure above), the predominant noise on the Quartz oscillators in the short period, as it is possible to see in the table at the right.
W = white, F = flicker, RW = random walk,
FM = frequency modulation, PM = phase modulation