[time-nuts] An (unknown?) nasty feature of the DDS principle for time nuts applications
df6jb at ulrich-bangert.de
Tue Jan 25 13:37:54 UTC 2011
the pros and cons of DDS chips and how to improve them have been discussed
here from time to time. Most of the improvements have the aim to remove
spurs out of the power spectrum or to reduce the noise level. Yesterday I
run into a thing that may make it very qestionable whether DDS based
circuitry is in general good for precise timing applications.
I have setup a AD9850 which is clocked from my Z3805 reference. Since the
clocking involves a sine-cmos conversion (currently done with 74HC4046 as
described by Shera et al) and a second sine-cmos conversion (also 74HC4046)
behind the reconstruction lowpass of the DDS (DDS ouput serves as reference
input of an ADF4002 PLL) I wanted to check the AD of the cmos output signal
and later test whether there was any improvement by using 74AC4046
The DDS was set to app. 1 MHz. For a 1 MHz output @ 10 MHz clock with 4 byte
accumulator width the necessary frequency tuning word is 2^32/10. But since
2^32 is a power of two its one and only prime factor is "2" and it is not
divideable without rest by any integer that is not a power of two itself.
2^32 is 4,294,967,296 so the closest integer to 2^32/10 is 429,496,730 which
produces a frequency offset of +0.000931322574615479 Hz against 1.0 MHz.
I compared this signal with a 1,000,000.001 MHz signal coming from my HP3325
which itself is also locked to the Z3805. I used my SR620 in high resolution
mode to compare the signals. That is: The counter is armed by its own 1 kHz
reference signal and measures exactly 1000 start/stop time intervals per
second between its start/stop inputs which are fed from the two 1 MHz
sources. Then the counter averages over the 1000 samples which improves the
counter's noise by app. SQRT(1000) = app. 32. which results in a close
picosecond resolution @ 1 Hz sample rate for the 1000 average.
The results of this measurement is shown in
When the linear trend resulting from the small frequency difference is
removed the plot looks like
which shows an unexpected very regular pattern. Indeed a auto correlation
computation reveals that the measured signal is highly self-correlated at
even multiples of about 50 s or so and highly anti-correlated at odd
multiples of 50 s or so. See yourself in
This regular pattern generates this nasty sigma-tau:
The question is: Where does it come from????
Well, lets have a look into details: The accumulation process starts with a
value of zero. After 10 accumulations a new period of the sythesized wave
starts. However, the phase accumulator does not start at zero again, because
in 10 accumulations we accumulated 10 * 429,496,730 = 4,294,967,300 and the
phase accumulator overflow happened at 4,294,967,296 - 1. The next wave
period will have its "sampling point" even a bit more far away from the
overflow point and all the rest of it.
If this really were the reason for the regular pattern in the measurement
then we need to ask ourselves whether after a certain time since start the
DDS accumulator matches its initial condition of zero after which the game
begins new. Since it was beyond of my mathematical capabilities to compute
the number of accumulations after which this condition is met again in an
analytic way I wrote me a small simulation of the DDS in PASCAL making use
of the fact that it supports 64 bit integers (INT64).
This simulation indicated that the condition "accumulator = 0" is met every
2147483648 accumulations. Expressed in time (remember that with a 10 MHz
clock every accumulation resembles a 100 ns step in time) this happens every
214.7483648 s. Well, that would explain why every 214 s or so the wave
pattern matches its initial conditions but not why my measurements suggested
a repetion rate of abt. 100 s. or so.
It then came to my mind that perhaps not a perfect match of the initial
conditions is necessary. Perhaps we need only come VERY CLOSE to the initial
conditions. So I modified my simulation in such a way that accumulator
values would be found which met the condition (acc>2^32-10) OR (acc<10).
I.e. I made me a small "window" around the overflow point and run the
simulation again. The result is to be seen in
The first column is the number of accumulations, the second column is the
accumulator value and the third column ist the time in s since start.
Heureka! This clearly shows that the synthesized wave (if not a complete
match) is kind of "self similar" in a high degree every 107 s or so in terms
of the position of her sample points. This matches my measurements very
well. So we more or less need to take it for granted that only the moving of
the sample points relative to the accumulator overflow point generates a
(allowedly very small) phase modulation on the output of the DDS that I have
documented with my measurents. For anything else other than time nuts
expectations this small phase modulation may be insignificant or better than
the specs demand.
However for very precise timing a DDS may simply be unsuited. My hope that a
combination of a DDS with a PLL would make a practical offset generator for
DMTD or so have vanished in the hay. The desribed problem will not show up
for power of two values of the frequency tuning word but that leaves us with
very limited number of discrete frequencies that run "Ok" on the DDS. This
involves ALL circuits that feature a DDS. Even the otherwise phantastic
scheme suggested by Rick Karlquist involves a DDS and may fail as a good
offset generator if it comes to timing aaplications.
While I must confess that the effect came a bit surprisingly with the DDS I
have seen similar (if not the same) effects when I tried to compare
oscillators by downmixing them into the audio domain and further process
them with a sound card and DSP software. One of the many things that I have
tried out was to use two digital PLLs locked to the two sound card input
channels. The sampled data came in chunks worth 1 s in time.
Every second the program would compute how the PLL output increased in terms
of phase against the sampling clock and then compute the difference between
the two channels. Already there I noticed that the phase not only increased
in time but also had this small periodical variations on top of it. This was
true when the sampled frequency was not an integer multiple of 1 Hz. If the
frequency was odd, say 100.25 Hz then the observed phase modulation on the
PLL phase had a repetion rate of 4 s because every 4 s there was a match to
the initial conditions. I am sure today that this is due to moving of the
sample points against the sampled wave as is the case the other way round
with the synthesized wave of the DDS.
Ortholzer Weg 1
27243 Gross Ippener
More information about the time-nuts