(This information is also for the Hermes Lite 2, Adalm Pluto, Pluto+ and LibreSDR)
During my RadioBerry build I started out using the version of PiHPSDR that was created just for the RadioBerry. The problem with this is that it is hard coded for a very small screen making it hard to use on a big screen since the user cannot resize the window dynamically.
I decided to look for a forked version of the PiHPSDR software that had the ability to change the window size to suit all use cases. During my search I stumbled across the DL1YCF fork of the source code that has some enhancements, one of which is the ability to change the display size.
In no time at all I had the source code downloaded and compiled only to find that it didn’t work with the RadioBerry. After some investigation I found that this was due to the fact that the RadioBerry software has compiled into it code that is used to access the GPIO pins on the RaspberryPi so that it can communicate with the RadioBerry HAT. This is fine except that the DL1YCF version of PiHPSDR also has code in it to use the GPIO pins. This of course causes a conflict and the net result is that nothing works.
Reading through the source code and Makefile I found that all I needed to do was to compile a version of PiHPSDR without GPIO support. This would then remove the conflict and allow the RadioBerry software to operate correctly.
To this end I put together a download/compile/install script for the DL1YCF version of PiHPSDR that will work on a RaspberryPi with a RadioBerry HAT and give the ability to resize the window to fit any size screen.
The script also works on a Linux Desktop PC running Ubuntu/Kubuntu/Linuxmint/Debian operating systems. (It will most likely work on other distro’s too but, these are all I have to hand currently). You can of course also use this software with a Hermes Lite 2 transceiver.
DL1YCF PiHPSDR running on RaspberryPi 4 with RadioBerry HAT on a large monitor
To install this enhanced version of PiHPSDR on your RaspberryPi/Desktop PC with GPIO support disabled, download the installation script below, unzip it and run it in a terminal on your RaspberryPi/Desktop PC in your home directory. (/home/<your-username>).
The script will download the latest source code from the DL1YCF github, disable the GPIO code and then compile and install it to your computer. If installing on a RaspberryPi it will create an icon on the desktop for you to use to start the software.
If installing on a PC then you will need to create your own desktop icon as the one created only works on a RaspberryPi. You can of course just start the software from the command line in a terminal. (My preferred method).
If you have a RaspberryPi 5 then I highly recommend that you run this version of PiHPSDR on it as it has a lot more computing power and handles using dual receive with ease. It will run on a Pi4 but, you will load the CPU more as it’s not as powerful as the later model Pi5.
The script will ask if you want to compile in SOAPYSDR support so that PiHPSDR will work with RTL-SDR, Adalm-Pluto, Pluto+ and LibreSDR. Enter Y to compile in support or N if you don’t need it.
For the last week or so I’ve been playing with a RadioBerry HAT for my RaspberryPi computer. The RadioBerry is a cut down version of the Hermes Lite 2 with just 20mW output power and separate TX and RX antenna ports. It’s a really neat little package that sits on top of a RaspberryPi4/5 and creates a neat little HF transceiver.
RadioBerry HAT
I initially started with the RadioBerry HAT on my Pi5 but, I soon realised that the software really doesn’t work well at all on the Pi5. I’m not 100% sure as to why but, for some reason it holds one core at 100% continuously. It seems that the RadioBerry software is single threaded. The end result is that on the Pi5 you cannot use a sample rate above 9600 before the IQ stream starts to stutter.
By contrast, installing the RadioBerry software onto a Pi4 it performs perfectly upto the maximum sample rate of 384000 without any stuttering. I’ll need to spend some time going through the source code to try and determine why it doesn’t work correctly on a Pi5.
Whilst going through the source I discovered that the developer has put some code in that collects data from the running computer and sends it to the developer’s website. Some of this data is then made public via his website, http://www.pa3gsb.nl/radioberry/api/read.php
One of the things displayed on the website is the Mac address of the RaspberryPi on which the RadioBerry is running. This is a security risk and should never be done!
The most annoying thing is that this is done without authorisation. The installation doesn’t state that it’s going to collect data every time you start your RaspberryPi computer nor does it offer the ability to opt out. It also doesn’t inform the user that it’s going to pass the data on to a third party. In some cases it even collects HAM Radio Callsign and location data and displays it on a public website, a clear breach of the UK/European Data Protection Law.
Finding spyware in open source software is really poor and something most open source developers would never consider doing.
To this end I have disabled the spyware in the version of the RadioBerry software that I am using and am making it available to everyone else to use via this blog.
So, to install the RadioBerry software you just need to download the installation script and run it in a terminal on your RaspberryPi computer.
The script will download the modified source code, compile it and install it on your RaspberryPi ready for you to use.
I encourage everyone that downloads the script and the source code to take a look at it and ensure you are happy with it. It’s important to know what you are running on your computer and what it does.
You can find the spyware code in the register.c file (It’s all commented out with “//” marks). The function now doesn’t pass any data at all to the public website.
I hope some of my readers who are experimenting with the RadioBerry transceiver find this useful.
I will soon be publishing an article on an enhanced version of PiHPSDR from DL1YCF to use with the the RadioBerry to complete the project.
Important Update:
There is an issue with the RadioBerry code that renders it useless if you use a kernel later than the version shown below:
Updating the O/S Kernel to any version later than the version shown above will stop the RadioBerry software from working. Recompiling of the code also fails due to the Kernel update and at the time of writing this cannot be fixed without a code rewrite by the original developer.
I also recommend that once you have built a working RadioBerry on a RaspberryPi 4 you should disable the automatic updates of the O/S to stop the system from failing in the future.
You can disable the automatic updates by entering the following commands into a terminal:
v2.0 comes with a bunch of new functionality that I think many will find useful. I’ve added a Manual Node Connect section that provides the functionality to enter a node number and connect to it, something I wanted to have from the outset but, saved for the second release.
M0AWS AllStarLink Control Dashboard v2.0 Manual Node Connect View
I’ve also updated the the Hubs/Repeaters section so that it provides better global coverage of the AllStarLink network with new nodes in Australia, South Africa and the USA added to the default set.
M0AWS AllStarLink Control Dashboard v2.0 Hubs/Repeaters View
In the Personal Nodes section of the app I’ve added my own node so, if you do download the app and use it, please connect to my node and say hello! I’d love to hear from people that are using the app and get your feedback.
M0AWS AllStarLink Control Dashboard v2.0 Personal Nodes View
In the Test Nodes section there are now two parrot nodes for audio testing. iParrott is still my favourite however, I’ve also added the HubNet parrot as a second option.
M0AWS AllStarLink Control Dashboard v2.0 Test Nodes View
There’s now a new ASL Information section that provides direct access to the network bubble map for your node, a keyed nodes list (Useful for finding nodes that are being used right now), an Active Nodes List and the Full Nodes List for the ASL network. Having access to this information means there really is no need to access Allmon/Supermon to find this information as it’s all available via the app.
M0AWS AllStarLink Control Dashboard v2.0 Information View
Finally, the Manage Node section of the app also gets an update with the addition of a Disconnect All Nodes button. This comes in handy when you’re connected to a bunch of nodes and need to clear down quickly.
M0AWS AllStarLink Control Dashboard v2.0 Manage Node View
As you can see there’s been quite a few changes to the app providing some new functionality whilst updating the previous version to make it even more useful. You can download the AllStarLink Control Dashboard v2.0 flow below.
To import the flow, open the Node-RED flow editor and import the flow from the burger menu. Once imported, double click the Get ASL Node Number node at the top of the flow, delete the credentials and then create new credentials for connecting to your RaspberryPi/SHARI AllStarLink node. Then go to each blue BigSSH Node in the flow and select your new credentials entry in the drop down list. Once this is done deploy the flow and you’re ready to go.
Note: If you have a v1.x version of the app already running you will need to either delete the flow or disable it by disabling all the trigger (inject) nodes and deploying so that the old and new apps aren’t trying to control the ASL node at the same time.
For more detailed information on how to deploy the app (v1.x/v2.0) from scratch please see my original article for the v1.0 deployment as it covers everything you will need to know.
Thanks to Steve, M0XVT for his help testing v2.0 of the AllStarLink Control Dashboard and getting it out into the wild so quickly.
I’ve been working on squashing some bugs in my Node-RED AllStarLink Control Dashboard with the help of Steve, M0XVT which has resulted in a new version of the flow now being available for download below.
If you’re reading this and aren’t too sure what it is all about then, have a look at my original article detailing the Node-RED AllStarLink Control Dashboard that I developed and wrote about back in September 2024 and hopefully it’ll all make sense.
This new version of the flow resolves an issue whereby the dashboard used an incorrect node number for the node it connects to resulting in it not working unless a piece of code was changed. The update was a simple change to add a couple of nodes that connect to the RaspberryPi and read the Asterisk/AllStarLink node number from the asterisk configuration files at startup.
Node-RED AllStarLink Control Dashboard v1.2 additional sub flow
I also fixed another bug whereby the buttons could show a false connect on a button when the user connects to another node via AllMon2/Supermon instead.
This flow no longer has the blue spare button as it now connects to a node in Melbourne Australia.
Node-RED AllStarLink Control Dashboard v1.2
You can download the new, v1.2 updated flow below and import it to your Node-RED flow editor using the standard import tool from the burger menu in the flow editor.
Ever since I built my RaspberryPi/SHARI AllStarLink node I’ve had to manage connecting/disconnecting to/from other nodes using the Allmon2 or Supermon web admin interfaces. These work fairly well albeit, a bit clunky and buggy. It’s impossible to use from a mobile device though and so I have to get my Macbook out each time I want to connect/disconnect nodes.
Being a Node-RED fanatic I decided that I should put something together that was more portable, mobile friendly and much easier to use. A simple user interface is all that is required and can be achieved very easily using the standard Node-RED dashboard nodes.
Initially I started investigating the Linux command-line interface for Asterisk, the VOIP system that underpins AllStarLink (ASL). I very quickly discovered that the ASL node can be very easily controlled directly from the command-line and that this would be an ideal interface to use to enable node management via a Node-RED dashboard.
In very little time at all I had an experimental control dashboard working with the ASL node and was able to connect/disconnect to/from a single node. All that was required now was to extend this so that I could connect to a number of nodes with nothing more than a push of a button.
Completed v1.0 AllStarLink Control Dashboard – Node-RED Flow
The resultant flow consists of 3 sections, Connect/Disconnect Main Flow, Manage Node Subflow and /var/log/asterisk/connectlog Subflow.
The Connect/Disconnect Main Flow handles all the input from the buttons on the dashboard and the communication to the underlying Asterisk VOIP system.
The button status is denoted by 3 colours, green (Ready to connect), orange (Transitioning to/from connect) and red (Connected). Each button is updated automatically by the button refresh function that is triggered every 2 seconds.
The Manage Node Subflow provides a simple interface to restart the Asterisk VOIP system, reboot the RaspberryPi and shutdown the RaspberryPi. The node status is automatically updated every 45 seconds and will show when the Asterisk subsystem is being restarted or the node is being rebooted or shutdown.
Finally the var/log/asterisk/connectlog Subflow monitors the Asterisk connectlog looking for connect/disconnect messages so that it can signal to update each button status.
Node-RED AllStarLink Dashboard
Each section of the dashboard can be collapsed/opened by touching/clicking the little blue arrows on the right of the dashboard. The dashboard works fine on Android, iOS, Windows, MacOS and Linux.
If you’re not familiar with Node-RED and haven’t yet installed it to your PC, take a look at the Node-RED Getting Started Page. The information takes you through installing Node-RED onto a multitude of devices including PC and RaspberryPi devices.
Once you have Node-RED installed all you need to do is download the AllStarLink Control Dashboard Flow and import it to your Node-RED flow editor.
Note: The link above is now for v1.2 of the flow which includes some critical bug fixes. You can read about the bug fixes in the v1.2 release article.
Once downloaded, select Import from the burger menu icon on the right-hand side of the flow editor as shown below and import the flow file.
Node-RED Flow Editor import Menu Item
Once imported you will find that some of the nodes in the flow are not available. This is because you need to add them to the flow editor palette before being able to deploy the flow.
Drop down the same menu as shown above but, this time select Manage Palette. This will open another window where you will need to select the Install tab as shown below.
Node-RED Flow Editor Palette Install Tab
You need to install two node sets to complete the flow, node-red-contrib-bigssh and node-red-dashboard. Type in the name of each package one at a time in the search bar and then click the Install button. Once the two packages are installed you then need to configure the credentials for logging into your RaspberryPi. This is simply done by double clicking the blue Send Command to ASL node at the top of the main flow and then clicking the Pencil button at the end of the Credentials field. This will open another window where you will need to type in the IP Address of your ASL RaspberryPi into the Host field, then enter 22 into the port field, add repeater into the Username field (repeater is the default username, if you have changed this then you will need to add the new username name in instead) and then the password associated with the repeater login into the Password field. (Normally allstarlink)
Once this is done, do the same on the other blue nodes, namely “Get Node Uptime“, “Command =>> RaspberryPi” and “Tail ConnectLog”.
The final thing to setup is the dashboard size. Click on the downward pointing triangle at the top right of the menu bar (under the burger menu) and select dashboard. Check that the sizes are set the same as in the image below. For some reason, these settings aren’t always imported (Possible bug?) so, if your dashboard layout isn’t like shown above it will be because these settings failed to import.
ASL Dashboard Settings
You are now ready to deploy your AllStarLink Control Dashboard! Press the red Deploy button at the top of the flow editor window.
Finally, if you want to change the nodes that each button connects/disconnects you will need to edit the set flow var’s function at the top of the main flow. All you will need to do is replace the existing node numbers taking care not to alter the rest of the code in any way otherwise, it could stop the flow from working.
Once you’ve edited the node numbers, double click on the associated button node and change its Label to show the new node name.
Once your changes are complete, Deploy the flow again and your changes will be live.
This is version 1 of the ASL Dashboard, I already have ideas for version 2 that will also have the ability to enter a node number into a field and connect to it without the need to program it into a button.
Coding of version 1 of the AllStarLink Dashboard is now complete and in the final testing phase. Below is a short video clip showing some of the functionality.
The Node-RED flow for the web app is pretty compact and easy to alter should I add more functionality in the future.
M0AWS Node-RED flow for the AllStarLink Node Dashboard
The dashboard is designed such that it’ll display nicely on mobile phones, tablets and desktop computers so, I can easily control my AllStarLink SHARI node from any of my devices around the house.
I’ll put together a more detailed article on the web app once testing is complete and it’s ready to be released into the wild.
Looking to expand the device capability I stumbled across a really interesting little project that is still in the early stages of development but, is functional and worth trying out.
The TC²-BBS Meshtastic Version is a simple BBS system that runs on a RaspberryPi, Linux PC or virtual machine (VM) and can connect to a Meshtastic device via either serial, USB or TCP/IP. Having my M0AWS-1 Meshtastic node at home connected to Wifi I decided to use a TCP/IP connection to the device from a Linux VM running the Python based TC²-BBS Meshtastic BBS.
Following the instructions on how to deploy the BBS is pretty straight forward and it was up and running in no time at all. With a little editing of the code I soon had the Python based BBS software M0AWS branded and connected to my Meshtastic node-1.
M0AWS Meshtastic BBS Main Menu accessible on M0AWS-1 node.
The BBS system is very reminiscent of the old packet BBS systems of a bygone era but, it is ideal for the Meshtastic world as the simple menus and user interface are easily transmitted in seconds via the Mesh using minimal bandwidth.
The BBS is accessible by opening a Direct Message session with the M0AWS-1 node. Sending the letter H to the node will get you the initial help screen showing the menu above and then from there onwards it’s just a matter of selecting the menu item and following the BBS prompts to use the BBS.
The BBS also works across MQTT. I tested it with Dave, G4PPN and it worked perfectly via the Meshtastic MQTT server.
This simple but, effective BBS for the Meshtastic network will add a new message store/forward capability to the Mesh and could prove to be very important to the development of the Meshtastic mesh in the UK and the rest of the world.
Following on from my article about my QO-100 Satellite Ground Station Complete Build, this article goes into some detail on the Node-RED section of the build and how I put together my QO-100 Satellite Ground Station Dashboard web app.
The Node-RED project has grown organically as I used the QO-100 satellite over time. Initially this started out as a simple project to synchronise the transmit and receive VFO’s so that the SDR receiver always tracked the IC-705 transmitter.
Over time I added more and more functionality until the QO-100 Ground Station Dashboard became the beast it is today.
M0AWS QO-100 Ground Station Control Dashboard built using Node-RED.
Looking at the dashboard web app it looks relatively simple in that it reflects a lot of the functionality that the two radio devices already have in their own rights however, bringing this together is actually more complicated than it first appears.
Starting at the beginning I use FLRig to connect to the IC-705. The connection can be via USB or LAN/Wifi, it makes no difference. Node-RED gains CAT control of the IC-705 via XMLRPC on port 12345 to FLRig.
To control the SDR receiver I use GQRX SDR software and connect to it using RIGCTL on GQRX port 7356 from Node-RED. These two methods of connectivity work well and enables full control of the two radios.
M0AWS Node-RED QO-100 Ground Station Dashboard Flow as of 12/06/24
The complete flow above looks rather daunting initially however, breaking it down into its constituent parts makes it much easier to understand.
There are two sections to the flow, the GQRX control which is the more complex of the two flows and the comparatively simple IC-705 section of the flow. These two flows could be broken down further into smaller flows and spread across multiple projects using inter-flow links however, I found it much easier from a debug point of view to have the entire flow in one Node-RED project.
Breaking down the flow further the GQRX startup section (shown below) establishes communication with the GQRX SDR software via TCP/IP and gets the initial mode and filter settings from the SDR software. This information is then used to populate the dashboard web app.
M0AWS Node-RED QO-100 Ground Station Dashboard – GQRX Startup Flow
The startup triggers fire just once at initial startup of Node-RED so it’s important that the SDR device is plugged into the PC at boot time.
All the startup triggers feed information into the RIGCTL section of the GQRX flow. This section of the flow (shown below) passes all the commands onto the GQRX SDR software to control the SDR receiver.
M0AWS Node-RED QO-100 Ground Station Dashboard – GQRX RIGCTL Flow
The TCP RIGCTL -> GQRX node is a standard TCP Request node that is configured to talk to the GQRX software on the defined IP Address and Port as configured in the GQRX setup. The output from this node then goes into the Filter RIGCTL Response node that processes the corresponding reply from GQRX for each message sent to it. Errors are trapped in the green Debug node and can be used for debugging.
The receive S Meter is also driven from the the output of the Filter RIGCTL Response node and passed onto the S Meter function for formatting before being passed through to the actual gauge on the dashboard.
Continuing down the left hand side of the flow we move into the section where all the GQRX controls are defined.
M0AWS Node-RED QO-100 Ground Station Dashboard – GQRX Controls Flow
In this section we have the VFO step buttons that move the VFO up/down in steps of 10Hz to 10Khz. Each button press generates a value that is passed onto the Set DeltaFreq change node and then on to the Calc new VFO Freq function. From here the new VFO frequency is stored and passed onto the communications channel to send the new VFO frequency to the GQRX software.
The Mode and Filter nodes are simple drop down menus with predefined values that are used to change the mode and receive filter width of the SDR receiver.
Below are the HAM band selector buttons, each of these will use a similar process as detailed above to change the VFO frequency to a preset value on each of the HAM HF Bands.
The QO-100 button puts the transmit and receive VFO’s into synchro-mode so that the receive VFO follows the transmit VFO. It also sets the correct frequency in the 739Mhz band for the downlink from the LNB in GQRX SDR software and sets the IC-705 to the correct frequency in the 2m VHF HAM band to drive the 2.4Ghz up-converter.
The Split button allows the receive VFO to be moved away from the transmit VFO for split operation when in QO-100 mode. This allows for the receive VFO to be moved away so that you can RIT into slightly off frequency stations or to work split when working DXpedition stations.
The bottom two Memory buttons allow you to store the current receive frequency into a memory for later recall.
At the top right of this section of the flow there is a Display Band Plan Info function, this displays the band plan information for the QO-100 satellite in a small display field on the Dashboard as you tune across the transponder. Currently it only displays information for the satellite, at some point in the future I will add the necessary code to display band plan information for the HF bands too.
The final section of the GQRX flow (shown below) sets the initial button colours and starts the Powermate USB VFO knob flow. I’ve already written a detailed article on how this works here but, for completeness it is triggered a few seconds after startup (to allow the USB device to be found) and then starts the BASH script that is used to communicate with the USB device. The output of this is processed and passed back into the VFO control part of the flow so that the receive VFO can be manually altered when in split mode or in non-QO-100 mode.
M0AWS Node-RED QO-100 Ground Station Dashboard – Powermate VFO Flow
The bottom flows in the image above set some flow variables that are used throughout the flow and then calculates and sets the RIT value on the dashboard display.
The final section of the flow is the IC-705 control flow. This is a relatively simple flow that is used to both send and receive data to/from the IC-705, process it and pass it on to the other parts of the flow as required.
M0AWS Node-RED QO-100 Ground Station Dashboard – IC-705 Control Flow
The IC-705 flow is started via the timestamp trigger at the top left. This node is nothing more than a trigger that fires every 0.5 seconds so that the dashboard display is updated in near realtime. The flow is pretty self explanatory, in that it collects the current frequency, transmit power, SWR reading, PTT on/off status and S Meter reading each time it is triggered. This information is then processed and used to keep the dashboard display up to date and to provide VFO tracking information to the GQRX receive flow.
On the left are the buttons to change band on the IC-705 along with a button to tune to the VOLEMT on the 60m band. Once again there two memory buttons to save and recall the IC-705 VFO frequency.
The Startup PTT Colour trigger node sets the PTT button to green on startup. The PTT button changes to red during transmit and is controlled via the Toggle PTT function.
At the very bottom of the flow is the set transverter IF Freq function, this sets the IC-705 to a preselected frequency in the 2m HAM band when the dashboard is switched into QO-100 mode by pressing the QO-100 button.
On the right of the flow there is a standard file write node that writes the 2.4Ghz QO-100 uplink frequency each time it changes into a file that is used by my own logging software to add the uplink frequency into my log entries automatically. (Yes I wrote my own logging software!)
The RX Audio Mute Control filter node is used to reduce the receive volume during transmit when in QO-100 full duplex mode otherwise, the operator can get tongue tied hearing their own voice 250ms after they’ve spoken coming back from the satellite. This uses the pulse audio system found on the Linux platform. The audio is reduced to a level whereby it makes it much easier to talk but, you can still hear enough of your audio to ensure that you have a good, clean signal on the satellite.
As I said at the beginning of this article, this flow has grown organically over the last 12 months and has been a fun project to put together. I’ve had many people ask me how I have created the dashboard and whether they could do the same for their ground station. The simple answer is yes, you can use this flow with any kind of radio as long as it has the ability to be controlled via CAT/USB or TCP/IP using XMLRPC or RIGCTL.
To this end I include below an export of the complete flow that can be imported into your own Node-RED flow editor. You may need to make changes to it for it to work with your radio/SDR but, it shouldn’t take too much to complete. If like me you are using an IC-705 and any kind of SDR controlled by GQRX SDR software then it’s ready to go without any changes at all.
A couple of years ago I built a Matrix Synapse server and connected it to the decentralised global Matrix chat network that is federated world wide by enthusiasts who host their own Matrix servers. Due to the enthusiasm for a decentralised network the Matrix has grown exponentially and is now an established force in the world of Opensource global communication services.
When I built my server and configured it online my aim was to bring together an enthusiastic group of Radio Amateurs (Radio HAMs) who could build a friendly, welcoming community where people could share, learn and have fun with other liked minded individuals without all the nonsense you see on commercial social media platforms.
Overtime we’ve increased the number of rooms available in the HAM Radio space and the number of subjects covered. This has grown organically as our community has grown and we’ve ventured together into new areas of the hobby.
Global Matrix Ham Radio Space hosted on the M0AWS Matrix Server
From the community a number of projects have spawned including the Opensource.radio Wiki that Mike, DK1MI is sponsoring that aims to detail all the Opensource HAM Radio software, Hardware and projects in one centralised site on the internet. This is a great project and one I am very happy to contribute to.
Thanks to Mike, DK1MI we now also have our own Matrix AllStarLink node available. This is a great resource for the community as it is often not possible for all of us to communicate via the radio waves due to geo-location, time zones, local planning regulations etc. Having this 24/7 internet based resource makes it a lot easier for the community to chat at any time even when propagation on the HF bands isn’t in our favour.
We also have a very active satellite room with regular nets on the QO-100 satellite. With such a great range of rooms and subjects there’s plenty to read and talk about with the community.
If you fancy being part of this growing, enthusiastic group of Radio Amateurs and Short Wave Listeners (SWLs) then click on the link below and come and say hello, a warm welcome awaits!
I get quite a few emails from readers of my blog asking how my QO-100 satellite station is put together and so, I thought perhaps now is a good time to put together an article detailing the complete build.
My QO-100 satellite ground station is built around my little Icom IC-705 QRP transceiver, it’s a great little rig and is ideal for the purpose of driving a 2.4Ghz transverter/up-converter.
Of course all the software used for the project is Opensource and freely available on the internet.
M0AWS QO-100 Ground Station Build Visual (Click to Enlarge)
The station comprises of the following building blocks:
QO-100 Ground Station Dashboard developed using Node-RED
LMR400-UF/RG58 Coax Cable
M0AWS QO-100 1.1m (110cm) off-set Dish with IceCone Helix antenna and Bullseye LNB.
To get a good clear view of the QO-100 satellite I have the dish mount 3.2m above the ground. This keeps it well clear of anyone walking past in the garden and beams the signal up at an angle of 26.2 degrees keeping well clear of neighbouring gardens.
The waterproof enclosure below the dish houses all the 2.4Ghz equipment so that the distance between the feed point and the amplifier are kept to a minimum.
The DXPatrol amplifier is spec’d to run at 28v/12w or 12v/5w, I found that running it at 28v produced too much output for the satellite and would cause the LEILA alarm on the satellite to trip constantly. Running the amp at 12v with a maximum of 5w output (average 2.5-3.5w) is more than enough for me to have a 5/9+10 signal on the transponder.
The large 1.1m dish gives me quite an advantage on receive enabling me to hear the very weak stations with ease compared to other stations.
2.4Ghz ground station enclosure ready for testing
The photo above shows the 2.4Ghz equipment mounted in the waterproof enclosure below the dish. This photo was taken during the initial build phase before I rewired it so, the amplifier is shown connected to the 28v feed. To rewire the amp to 12v was just a matter of removing the 28v converter and connecting the amp directly to the 12v feed instead. This reduced the output from a maximum of 12w down to a maximum of 5w giving a much better (considerate) level on the satellite.
It’s important to keep all interconnects as short as possible as at 2.4Ghz it is very easy to build up a lot of loss between devices.
For the connection from the IC-705 to the 2.4Ghz Up-Converter I used a 7m run of LMR-400 coax cable. The IC-705 is set to put out just 300mW on 144Mhz up to the 2.4Ghz converter and so it’s important to use a good quality coax cable.
Once again the output from the 2.4Ghz amplifier uses 1.5m of LMR-400-UF coax cable to feed up to the 2.2 turn Icecone Helix Antenna mounted on the dish. This keeps loss to a minimum and is well worth the investment.
Bullseye 10Khz High Stability Unversal Single LNB for 10.489-12.750Ghz
The receive path starts with a Bullseye LNB, this is a high gain LNB that is probably one of the best you could use for QO-100 operations. It’s fairly stable frequency wise but, does drift a little in the summer months with the high temperature changes but, overall it really is a very good LNB.
The 12v feed to the LNB is via the coax and is injected by the Bias-T device that is in the radio shack. This 12v feed powers the LNA and associated electronics in the LNB to provide a gain of 50-60dB.
Bias-T to inject 12v feed into the coax for the Bullseye LNB
From the Bias-T the coax comes down to the NooElec SmartSDR receiver. This is a really cheap SDR device (<£35 on Amazon) based on the RTL-SDR device but, it works incredibly well. I originally used a Funcube Dongle Pro+ for the receive side however, it really didn’t handle large signals very well and there was a lot of signal ghosting so, I swapped it out for the NooElec SDR and haven’t looked back since.
The NooElec SmartSDR is controlled via the excellent Opensource software GQRX SDR. I’ve been using GQRX SDR for some years now and it’s proven itself to be extremely stable and reliable with support for a good number of SDR devices.
To enhance the operation of the SDR device I have added a Griffin Powermate VFO knob to the build. This is an old USB device that I originally purchased to control my Flex3000 transceiver but, since I sold that many moons ago I decided to use it as a VFO knob in my QO-100 ground station. Details on how I got it working with the station are detailed in this blog article.
Having the need for full duplex operation on the satellite this complicates things when it comes to VFO tracking and general control of the two radios involved in the solution and so I set about creating a QO-100 Dashboard using the great Node-RED graphical programming environment to create a web app that simplifies the management of the entire setup.
M0AWS QO-100 ground Station Control Dashboard built using Node-RED.
The QO-100 Dashboard synchronises the transmit and receive VFO’s, enables split operation so that you can transmit and receive on different frequencies at the same time and a whole host of other things using very little code. Most of the functionality is created using standard Node-RED nodes. More info on Node-RED can be found on the Opensource.radio Wiki or from the menu’s above.
I’ll be publishing an article all about the QO-100 Dashboard in the very near future along with a downloadable flow file.
I’m extremely pleased with how well the ground station works and have had well in excess of 500 QSO’s on the QO-100 satellite over the last last year.
More soon …
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