A Versatile Low Cost GPS Corrected Frequency Standard
(Updated on September 15, 2017)


A frequency counter is present in many Amateur Radio Stations or electronics workshops but, with the exception of the high-end models, its accuracy and stability  are generally in the 1-9 ppm range.
Some counters have a connector for an accurate external time base, generally 10 MHz. These time bases are expensive if purchased new and scarce on the second-hand market.

I have such a frequency counter in my ham shack and a frequency standard was needed to improve its accuracy. The Global Positioning System (GPS) is one solution to my problem.
There are mainly two ways of generating a stable and accurate reference signal with the help of a GPS :
- The PLL method makes use of the medium frequency signal (from 10 kHz up to some MHz) provided with some GPS receivers. The PLL locks an external 10 MHz time base to the GPS receiver. This is the best method, but you need a GPS receiver with a medium frequency output.
- Other methods are based on the 1 pulse per second (PPS) available in almost all GPS, even the low-cost ones. The accuracy of this PPS is generally better than 100 ns (often in the 10 to 30 ns range) and, by averaging it over a long period, a much better accuracy can be achieved.

Both methods have been described in many articles and Web sites, thus I looked at them in order to select the most appropriate to my needs. I was not looking for an uncertainty of 10-10 or better : a two-order improvement compared with that of my frequency counter, i.e. a few parts per 10-8, was my target.

  1. Description.
I selected the PPS method because many low-cost GPS receivers found on eBay lack the medium frequency output.
I was inspired by several articles :
- One published by G. Marcus W3PM in QEX July/August 2015 (1)
- A 64-bit Si5351 Arduino library proposed by Jason Milldrum NT7S and Dana H. Myers K6JQ (2).
- A Web page presenting a program written by Igor Gonzales Martin : this program shows how to read  GPS information from the NMEA data streams (3).
- And many others...

Figure 1 below shows the schematic diagram of my unit (click here to enlarge) : an Adafruit Si5351 board generates the RF signal and an Arduino Nano is doing almost all the work.

Sch3
Figure 1

The Si5351 is programed to deliver a 2.5 MHz signal on the CLK0 output pin. This pin is connected to pin D5 of the Arduino which is the input of its 16-bit internal counter. This counter measures the number N of 2.5 MHz periods for 40 PPS cycles. If this frequency is exactly 2.5 MHz, the counter register reads Ntrue= 2.5x106 x 40 = 108 pulses. If the 25 MHz Si5351 main clock differs from its nominal frequency, then CLK0 will differ too and N will be lower or higher than Ntrue. The Arduino program will compute the new frequency calibration factor and send it to the Si5351.
Because of the various errors (computation errors, 1 PPS jitter, method of Si5351A frequency corrections, etc...) the overall accuracy of my system is not better than +/- 1.5x10-8. Thus the Arduino software doesn't send any frequency correction to the Si5351A if  the measured error E= N-Ntrue is lower than +/- 2x10-8.

The Si5351 second clock output CLK1 is the 10 MHz (or any other frequency) output.
The 25 MHz crystal temperature drift  was improved by attaching a small  heatsink to the crystal case, near the Si5351. You can see this heatsink on the upper part of the Adafruit Si5351 board, in the picture below.
During the first tests, I discovered that, occasionally,  strong RF signals near the unit  could disturb it. I added an alarm LED (connected to Arduino pin 3) on the front panel to warn the user. An optional buzzer can be connected to pin 3 to provide an audible alarm.

The software code is available for download in the Download section.

The inside of  the box, without the GPS which is a few meters away, is presented on Figure 2A and the  rear panel on Figure 2B.
On Fig. 2B we see the GPS connector on the left and the power supply 9V  jack. The switch 'N/LOAD' connects the Arduino RS232 input to the PC during software development or to the GPS in normal mode


2A              2B 
Figure 2A                                                                                                   Figure 2B

The front panel is shown in Figure 3. The output frequency and GPS time are displayed on the upper line of the LCD. The error E= N- Ntrue (in parts per 10-8 ) is displayed on the right part of the second line : the frequency error of the 10 MHz signal was E= 1x10-8 when I took the picture.
The alarm LED is on the left and the red switch on the right is the Arduino Reset.


X             4
                                                Figure 3                                                                                  Figure 4                                  

My GPS receiver module is a UBLOX-NEO-6M coming with an antenna soldered on the board. All the tests were conducted with the module inside my ham shack, but near the ceiling to have a good view to the satellites. The receiver is connected to the main unit by a 4 meters shielded 4 conductor cable, the shield being soldered to the ground at each end.
I put the GPS module in a plastic box to protect it against dust and shocks (Figure 4). It is a clear plastic, so I can see the blinking of the receiver LED from the outside and know that the receiver is working properly.

2. Testing the system.
I wanted to test my system from both the stability and accuracy points of view : it was long and hard work and I modified the software many many  times to improve the behavior of my equipment.
2.1 Stability.
I don't have any high stability RF generator to test my system and WWV reception is presently not good in my area, especially for long-term testing. Some years ago I was given a Pletronics 26 MHz OCXO : according to its technical data, its aging accuracy is good enough (< 4 ppm accumulated for 10 years) and its frequency stability vs. temperature is better than 10-7 from -40C to 85 C. So I thought about the simple test jig shown below (Figure 5) to evaluate my GPS frequency standard.

5

Figure 5

The idea is to program the Si5351 frequency on 26.000800 MHz and to mix its signal with the 26.0000000 MHz from the OCXO. A low-pass filter (Fc# 2.5 kHz) following the mixer rejects the RF and keeps only the resulting 800 Hz. This audio frequency is sent to my PC sound card for processing.
I used the Spectrum Lab software from DL4YHF (4)
as an FFT frequency estimator and to store the data in my PC hard disk.
J. Audet VE2AZX's paper (5)  was a big help for "setting me up" with Spectrum Lab.
The schematic diagram of the mixer-low-pass filter unit is shown on Figure 6.

6

Figure 6

Frequency measurements of the Pletronics OCXO showed that its signal was around 26.000100 MHz. The beat frequency is thus around 700 Hz (instead of 800 Hz) at the output of the mixer-low-pass filter.
I conducted many tests over the past few months to evaluate and improve the performance of this system.  Figure 7 presents a copy of  the Spectrum  Lab  screen during one of these tests. This test was conducted from a cold start and one can see (lower part of the picture) the large frequency jumps during the first 5 minutes.

7
Figure 7

After these large jumps, the frequency corrections are around 0.8 Hz, i.e. 3x10-8 referenced to our 26 MHz signal. These small frequency steps are linked to the resolution of the correction factor which is +/- 10-8, as pointed out in the first part of this paper.
Many long duration tests were also carried out and Figure 8 shows one of them. It was obtained from a recorded Spectrum Lab file and shows the full 5 hours experiment, the start of which is presented on Figure 6 above.

n 
Figure 8

2.2 Accuracy measurement.
To estimate the absolute accuracy I need to compare my signal to a high accuracy reference signal. I looked at the short waves Web sites devoted to frequency standard transmitters and found that RWM is a time and frequency station in Russia, transmitting on 9.996 MHz. I can hear this station on my receiver although its signal is not very strong and is affected by fading (QSB). However it is the only short-wave standard frequency transmitter I receive reasonably well !
I modified my Arduino program to generate 9.995300 MHz, in order to get a 700 Hz beat frequency at the audio output of my receiver. This audio frequency is then sent to my PC audio card and processed by Spectrum Lab which displays a spectrogram like the one shown on figure 9.


9 
Figure 9

This picture is very different from figure 6 : the signal level is changing (QSB), the  carrier is continous (CW) only for short time intervals and the S/N ratio is not as  good. Anyway Spectrum Lab works wonders and extracts frequency information! One can see that the estimated frequency is 699.832 Hz instead of 700 Hz, i.e. around 2x10-8 absolute error at that time.


3. Download.

Arduino sketch GPS_Si_41.zip



Conclusion.
This is a simple frequency standard, costing less than $40, fulfilling my needs and a very useful addition to my frequency counter.
Moreover, it is a very versatile unit : generating any stable and accurate frequency (up to 150 MHz or more) is just a matter of changing one line of code.

Notes
(1)  G. Marcus W3PM,"An Arduino Controlled GPS Corrected VFO,"  QEX, July/August 2015, pp. 3-7
(2)  https://github.com/etherkit/Si5351Arduino
(3)  http://playground.arduino.cc/Tutorials/GPS
(4)  http://www.qsl.net/dl4yhf/spectra1.html
(5)  http://ve2azx.net/technical/FMT/SpecLabInfo.pdf

 Home