I used to measure WWV carrier only (a much more pedestrian approach than yours) 
with a qs1r locked to a Valon synthesizer driven by a a very nice (for my 
budget) 1000A oscillator that Corby provided me.

I often saw (now I could be reading your data wrong) a minimal shift when the 
signal strength was very low. I researched this phenomenon for quite some time 
and my hypothesis was that this represents a point where you receive only 
non-Doppler shifted signal via pure reflection at the ionospher.  From the 
papers is read this component is always received but it is buried within the 
usually stronger shifted components.  If I remember right there is a name for 
that direct (non-shifted) component but it escapes me.

I then moved, got busy and haven’t gotten an antenna back up.  Your results 
make me want to get less busy again.

Thanks,

Bill Dailey


> On Nov 27, 2018, at 7:40 PM, Scud West <[email protected]> wrote:
> 
> I’ve been monitoring the Doppler shift of WWV/H and CHU for a while now from 
> my location 100 km / 60 mi NW of Seattle.  
> 
> The receiver is a QS1R, using an LTC2208 16 bit ADC, and the 125 MHz clock is 
> provided by a Bodnar GPSDO.  A Wellbrook ALA1530S+ loop antenna provides good 
> coverage for the entire range. 
> 
> I use a Python script to tune the QS1R to each frequency for 11 seconds while 
> in CW mode.  The 800 Hz beat frequency is measured using the open source 
> program Fldigi. 
> 
> Fldigi is mainly intended for HF digital modes like RTTY and PSK31, but the 
> “Frequency Analysis” function is effectively an audio frequency counter with 
> .001 Hz resolution, updated every 1.024 seconds.  The first 5 or 6 samples 
> are discarded after a frequency change.  The signal must be within about ± 5 
> Hz.
> 
> During many minutes, WWV transmits a 500 Hz tone, and WWVH a 600 Hz tone (or 
> the reverse).  By treating these as separate carriers (e.g. tuning to 5.0006 
> MHz) I'm able to separate the Doppler shift and signal strength of the two 
> stations.  It's remarkable that Fldigi is able to make an accurate 
> measurement of the 500/600 Hz "carriers", since there is a 40 ms gap 
> surrounding the tick sound each second.
> 
> I've just recently got enough of a handle on Python, Matplotlib, Pandas, 
> JupyterLab, and other excellent tools to even begin to analyze and display 
> the data.
> 
> 
> From my location:
> 
> WWV:      Ft Collins, CO    1,675 km,  1,040 mi,  113°
> WWVH:   Kauai, HI            4,335 km,  2,694 mi,  241°
> 
> 
> 
> 
> Each datapoint for the 500/600 Hz signal is plotted, to give a sense of the 
> signal variation.  Only the smoothed carrier signal is plotted, because 
> otherwise it made the graph "too" busy (ha).  The 500/600 Hz plots are moved 
> up by 15 dB to correspond with the carrier level.  But this means their 
> displayed noise floor is raised as well.  For instance, the WWVH signal from 
> 18:00 until past 00:00 is mostly in the noise.
> 
> 
> 
> 
> Each observation is for 5 or 6 seconds, and taken a few minutes apart.  If 
> the standard deviation of the observation exceeds 0.150 Hz it is rejected.  
> The reject is plotted in light gray, but otherwise ignored.  That's the only 
> filter being applied to the data.  WWV is usually stronger at my location, 
> and the carrier data correlates with it pretty closely.  Based on looking at 
> a few days data, usually WWV gives a more accurate and higher confidence 
> reading than the carrier alone, and considerably better than WWVH.  Last week 
> the largest daily 5 MHz WWV median was .010 Hz (2.0e-09); one other day was 
> .003, but most were .001 (2.0e-10).  
> 
> 
> I'm just now getting presentable results, and expect to find errors: 
> cosmetic, conceptual, and fundamental.  Currently the Python script is as 
> shaky as my understanding of basic statistics.
> 
> Oh well, back to the data
> 
> 
> Rob
> 
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