Regular readers of my blog will already know that I am a huge fan of the Linux operating system, it’s clearly evident in most of the content on this website.
I am also a very enthusiastic user of one of the first credit card sized computers that came to be, namely the RaspberryPi. I own all the iterations of this wonderful little computer from the very first version to the latest and greatest, RaspberryPi 5.
This little computer has done more for computing in education than Microsoft and Apple will ever achieve and it’s done it at an incredibly low price making it more accessible to schools, colleges and students than any other platform.
The RaspberryPi has what most consider to be the best support on the planet when it comes to single board computers (SBCs). From the dedicated team that build Raspberry Pi OS, to all the amazing projects and forums that are available, for free on the internet today.
The RaspberryPi computer really has revolutionised computing for the masses.
My RaspberryPi 5 that I am using to write this article.
Raspberry Pi OS really is very good. It’s based on the great Debian distro’ that many of us seasoned Linux users dearly love. It’s light weight, fast and meets the needs of everyone that is venturing into the exciting world of Linux and SBCs for the first time.
Overtime as we all become more experienced with Linux on the RaspberryPi we become more demanding and start to find the Raspberry Pi OS desktop environment lacking. Sure it can be enhanced by adding more and more to it however, it never quite reaches the point of satisfaction and we are always wishing for something more.
With the Pi-5, the latest iteration of this great credit card sized computer, users are now able to seriously think about building a more powerful desktop environment for their little berry flavoured computers.
On my desktop PCs dotted around the house I have used Kubuntu for decades. It’s a slick and powerful desktop environment that has met my needs for many years and I love it more than any other Linux desktop. Sadly Kubuntu isn’t easily available out the box for the RaspberryPi and so I decided that it was time to replicate it as closely as possible on my new, super powerful RaspberryPi 5.
When I ordered my RaspberryPi 5 from Pimoroni I added the NVMe base and 250GB M.2 SSD drive to the order. Up until now I’d always used SD cards however, they are slow and unreliable and so I decided that since the Pi-5 has PCIe it was time to take the step away from SD cards and start using SSD technology.
Getting the OS onto the SSD is a two stage affair. First you have to create a bootable SD card to boot the Pi-5 from and then use it via the RaspberryPi Imager to install the OS onto the SSD. It’s a bit long winded but, easy enough.
Since I’m a huge Kubuntu fan I decided my desktop of choice for my new Pi-5 was going to be KDE-Plasma. I had tried to install this desktop before on older model Pi’s however, it ran so slow that it was unusable. With the new Pi-5’s increased computing power and the speed of the SSD I was confident that this was now possible.
I started out installing the Lite version of Raspberry Pi OS on the SSD. This is a command line only version of Linux that doesn’t include any desktop environment, a nice clean slate to start from.
RaspberryPi Imager showing Pi OS Lite (64bit)
Once the Lite version of the OS was installed on the SSD I shutdown the Pi-5 and removed the SD card and then powered the Pi-5 back up again so that it booted from the SSD.
Upon booting I was presented with the simple Linux Login prompt. After entering my username and password as setup during OS install I landed at the Linux command prompt.
sudo su -
I used sudo to become root user as shown above and then set about building my new KDE based super computer. First I needed to update the operating system with all the latest patches and security fixes.
apt update && apt dist-upgrade
The update and upgrade process ran for a while but, it was soon complete.
reboot
I issued the reboot command and then logged back in again, I was now ready to start building the KDE desktop environment.
sudo su -
apt install kde-plasma-desktop gldriver-test
Becoming root again I type the command to install the KDE-Plasma desktop and the graphics-related config services. There’s a lot of packages to download and install so, I left it to do its thing.
A little while later all the packages were installed and ready to go. I now needed to tell the system to boot into the new graphical user interface instead of the command prompt using systemctl.
systemctl set-default graphical.target
Once this was done I needed to make a change to the display settings using the raspi-config program.
raspi-config
Selecting No.2 on the menu, Display Options and then D2 Screen Blanking, I disabled screen blanking so that I got the full 4K support for my KDE Desktop.
Once the system had been configured for a graphical user interface there was only one thing left to do and that was to shutdown the RaspberryPi.
shutdown -h now
The beautiful KDE-Plasma Desktop on RaspberryPi 5
Powering the Pi-5 back up again I was greeted by the standard KDE Plasma login screen and then, after logging in I was transported to the beautiful KDE desktop. I was now smiling like a Cheshire cat!
The KDE desktop is incredibly snappy on the Pi-5 with an SSD, app’s open instantly and run with minimum CPU exertion. It was now time to load the rest of the KDE application suite to complete the build. Popping open a terminal I hit the command line once more.
sudo su -
apt install kde-full vim yakuake vlc firefox rsyslog
This loads the full set of KDE applications adding just about everything you’ll ever need to the desktop environment. It’s about 1GB of packages and so depending on your internet speed it could take a while but, it’s well worth the wait.
Once complete you are ready to go with a fully functional, snappy, powerful desktop.
I’m extremely pleased with the performance of the Pi-5. KDE is super fast, snappy and responsive. With 8GB of RAM on tap the RaspberryPi has no problem with performance. The Pi-5 and KDE-Plasma really do make a great desktop computer at an incredible cheap price.
Looking for a new computer?
Add a cheap USB sound card and a pair of speakers and this little setup will meet the needs of 90% of the population with ease and go on to satisfy the more seasoned, demanding Linux user or programmer without breaking the bank.
(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.
NOTE: The info in this article is out of date and does not work with the latest version of AllStarLink. The Debian O/S it is based on is no longer in support.
Over the last couple of days in-between doing other things I’ve been writing and testing a BASH shell script that will completely configure a fully working AllStarLink node.
M0AWS – Coding the BASH script for the automated AllStarLink installation
To use the script you must already have your RaspberryPi (preferably a Pi 3b) connected to your LAN with full internet access using the Raspbian based version of the AllStarLink software downloadable from here.
The specific version I use is:
asl-2.0.0-beta.6-kc1kcc-20210324-rpi-armhf
I have tested the BASH script using this specific version of O/S only.
Once your RaspberryPi 3b is up and running, has full internet access and is accessible on your local LAN, using SSH login in as the user ‘repeater‘ using the password ‘allstarlink‘.
It’s important you only use this login to configure the node as this is the user the script is expecting to be run by. You must login via SSH as the SHARI device needs to be connected to the RaspberryPi 3b and you won’t be able to connect a keyboard and mouse at the same time. (If you are using two USB cables for the SHARI device then you can use a keyboard and mouse along with a monitor attached to your RaspberryPi instead of using SSH).
Once logged in as user repeater run the following wget command to download the zipped install script:
You are now ready to build your AllStarLink node. Before you run the script make sure you have your node number and node secret to hand. These are obtained from the AllStarLink portal.
Once you’ve got all your node information you can run the script using the following command:
./install.sh
The script will now take you through the full process of updating the operating system as necessary, installing all the required packages and software. It will then reboot the RaspberryPi and you will need to login and run the script a second time using the command above.
On the second run the script will install some python specific software, ask you to enter your callsign, node number and node secret and will then configure your node. The last thing it does is configure the Allmon2 and Supermon Web Admin websites. During this process it will ask you to enter a password twice for the Admin user for the two websites, make sure you make a note of this password as you will need it to login and control your node.
Once the node is configured it will be rebooted and you will then be able to connect to your node using your favourite web browser and the user admin and the password you set above.
To access the Allmon2 web-admin system use the following URL:
For those of you who prefer Supermon you an use the following URL:
http://your-RaspberryPi-IP-Address/supermon
M0AWS – Supermon Web Admin view
I have also pre-populated the Favorites button with a list of nodes that I use often. You can easily change these entries by editing the favorites.ini file in the /var/www/html/supermon directory as user root.
M0AWS – Supermon pre-populated Favourites drop down list
When you first login to your node via your web browser you’ll notice that it says your node isn’t in the database. You can update the database by using the following URL in your web browser:
Please note: This build is now deprecated and will no longer work. Please use the new AllStarLink 3 build process as documented on the AllStarLink website.
We’ve recently added a new room to the Matrix HAM Radio Space for Digital Voice modes as this was an area of interest that didn’t really fit into any of the other rooms.
The new Digital Voice room has attracted a lot of attention from members, with a lot of the focus being on the AllStarLink system. Michael, DK1MI built an AllStarLink node in the cloud for us all to use for Matrix Nets and so I decided I had to get in on the fun.
Jumbospot SHARI SA818 Amateur Radio AllStarLink Radio Interface Front Panel ViewJumbospot SHARI SA818 Amateur Radio AllStarLink Radio Interface Rear ViewJumbospot SHARI SA818 Amateur Radio AllStarLink Radio Interface stripped down View
The two USB connectors on the SHARI device are position such that they plug into two of the available 4 USB ports on the RaspberryPi without the need for cables. This keeps the whole solution together in one neat package.
Before you start you will need to obtain a node number and secret (password) from the AllStarLink Portal. To get this you will need to provide proof to the AllStarLink administrators that you are a licensed Amateur Radio (HAM) operator. This is done by uploading a copy of the first page of your HAM licence to the website for the admin team to check. This can take 24hrs to be completed so make sure you get this all done before trying to build your node. You cannot build a node successfully without a node number and secret.
Of course you will also need a transceiver that can operate on the 438.800Mhz frequency or other frequency of your choice on the 2m or 70cm HAM band.
You will also need to open port 4569 on your internet router and setup port forwarding to the IP Address that you will be using on your RaspberryPi node. It’s important to use a static IP Address on your RaspberryPi.
There are quite a few different Linux based operating system (O/S) images that are available for the RaspberryPi devices that have been specifically tailored for the AllStarLink node and include all the necessary software and library packages out the box.
Once downloaded you need to burn the ISO image onto a suitable SD card for your RaspberryPi. I use BalenaEtcher as it’s extremely quick and reliable at burning ISO images to SD cards.
Of course if you are a hardline Linux command line junkie you can always use dd to create the SD card.
Once you’ve got your O/S onto your SD card, slot it into your RaspberryPi making sure your SHARI device is connected to the two USB ports and then power it up. Make sure you have a good PSU for the RaspberryPi as the two devices together draw around 3A of current during the transmit cycle. (I use a 3.6A PSU from Amazon).
The default login for the Raspbian O/S is shown below. Login via SSH and configure your RaspberryPi for your local network. It’s important to use a static IP Address configured either directly on the RaspberryPi or via DHCP in your router.
Next you need to change directory into the asterisk config file directory using the command shown below:
cd /etc/asterisk
In this directory you will find all the default config files that come as part of the distro. For this build we’re not going to use them and so we need to move them out of the way ready for a set of config files that have already been configured correctly.
Using the following commands create a new directory, move into that new directory and then move all the unwanted configuration files into it:
mkdir ORIGINAL-CONF-FILES
cd ./ORIGINAL-CONF-FILES
mv ../*.conf ./
ls -la
cd ../
You should now be back in the /etc/asterisk directory which will now be empty apart from the custom directory which we left in place.
You now need to copy the correctly configured configuration files into the /etc/asterisk directory. Start by downloading the zip file containing the new configuration files
Download removed as deprecated.
Once downloaded, copy the .zip file into the repeater users home directory (/home/repeater) using either scp on the Linux command line or if using Windows you can use the FileZilla Client in SFTP mode using the login details above.
Once you have the .zip file in the repeater user’s home directory you need to copy the file into the /etc/asterisk directory as user root:
Next as user root, change directory into the /etc/asterisk directory and unzip the .zip file:
cd /etc/asterisk
unzip ./AllStarLink-Config-v3.zip
Once the file is unzipped you will have a directory called AllStarLink-Config in the /etc/asterisk directory. You now need to cd into the directory, copy all the files out of it into the /etc/asterisk directory leaving a copy in the AllStarLink-Config directory for future reference:
cd /etc/asterisk/AllStarLink-Config
cp ./* /etc/asterisk
cd /etc/asterisk
You now need to move a couple of files into the repeater users home directory using the following commands:
The gpioBASH script and configuration details were supplied by Mark, G1INU in the Digital Voice room on the Matrix. It adds the COS light functionality to the setup. The COS light will now light every time the SA818 hears RF on the input.
The next thing you need to do is configure the SA818 radio device in the SHARI. The script I used was originally from https://wiki.fm-funknetz.de/doku.php?id=fm-funknetz:technik:shari-sa818 all I’ve done is change the entries to switch off CTCSS and change the frequency to 438.800Mhz. Configuring the SA818 is done by running the SA818-running.pyPython programme that you moved into the repeater user home directory. Making sure you are still user root, run the following commands:
cd /home/repeater
./SA818-running.py
At this point your SHARI SA818 device will be configured to operate on 438.800Mhz and CTCSS will be disabled.
If you want to change the frequency or enable and set a CTCSS tone to access the node you will need to edit the Python programme using your favourite text editor and change the entries accordingly. Once changed rerun the program as shown above and your SHARI will be reconfigured to your new settings.
Next you need to move the allmon.ini.php file into the correct directory so that it enables access to the Allstar Monitor web page on the device so that you can manage connecting/disconnecting nodes. Use the following commands as user root to achieve this:
The allmon.ini.php file needs to have your node name entered into it to work correctly. As user root, change directory and edit the file using your favourite editor.
cd /var/www/html/allmon2
Using your text editor, search for the line starting [XXXXX] and change the XXXXX to your node number. Save the change and exit the file.
At this point you are almost complete, all that is left to do is add your node number and node secret into the appropriate configuration files in the /etc/asterisk directory.
Since I am a Linux command line junkie I use vi to edit all the configuration files on the command line as user root, but you can use any editor of your choice.
cd /etc/asterisk
Start with the extensions.conf file. Search for the line starting with NODE = and delete the XXXXX entry and insert your node number. Save the file and exit it.
Next you need to edit the iax.conf file. This time search for the line starting with register= and change the XXXXX for your node number and the YYYYYYYYYYYY for your node secret. Be careful not to accidentally delete any other characters in the lines otherwise it will corrupt the configuration file.
In the same file search for the two lines that start with secret = and change the YYYYYYYYYYYY for your node secret. Once you have changed both of the secret entries, save and exit the file.
The final file to edit is the rpt.conf file. Once again open the file using your favourite editor and search for the line starting with XXXXX = radio@127.0.0.1:4569/XXXXX, change the XXXXX entries for your node number making sure not to delete any other characters next to the XXXXX entries.
Further down in the same file there is a line that starts with [XXXXX], once again change the XXXXX for your node number making sure to keep the square brackets at each end of the node number as you edit it.
Finally move down to the very bottom of the file and find the two lines that start with /home/repeater/gpio, once again change the XXXXX entries for your node number.
The final thing to change in the rpt.conf file is to replace my callsign with your own callsign so that the node identifies itself correctly. Scroll through the file until you find the two lines shown below, delete M0AWS and add your own callsign instead making sure you keep all the spaces between words as shown below.
idrecording = |i DE M0AWS
idtalkover = |i DE M0AWS
Once this is done, save and exit the file. At this point your node should be fully configured and will only require a reboot to get it working.
As user root, reboot your raspi using the reboot command.
reboot
Once your raspi comes back online, login using SSH as user repeater and then become root user using the sudo command detailed above.
You now need to create the admin user password for the Allstar Monitor web page on the device. This is done using the following commands as user root:
cd /var/www/html/allmon2
htpasswd -c .htpasswd admin
You will be asked to enter a password twice for the admin user. Make sure you make a note of this user/password as you will need it to login to the web page.
Finally check that the controlpanel.ini.php file is in the /var/www/html/allmon2 directory:
ls -la /var/www/html/allmon2/controlpanel.ini.php
If the file isn’t shown in the directory, enter the following commands to create the file in the correct place as user root and then exit the SSH session:
cd /var/www/html/allmon2
cp ./controlpanel.ini.txt ./controlpanel.ini.php
cd
exit
Once this is done your configuration is complete, logout from the terminal session by entering exit once more and your SSH session will terminate.
Using your favourite web browser enter the IP Address of your raspi into the URL bar as shown below:
http://<Your-Raspi-IP>/allmon2
Note: remove the <> from the URL once you have entered the required information.
Once this is done you should be presented with your node control panel as shown below.
First visit to the AllStar Monitor Web Page
Login using Admin and the password you set above and you are now ready to start using your node.
It’s a good idea to connect to node 55553 which is a parrot test node to check your audio levels. You can do this by entering the node into the field at the top left and pressing the connect button.
M0AWS AllStarLink Node 61928 connected to 55553 Parrot
Once connected, tune your radio to 438.800Mhz FM and transmit a test message using your callsign and test123, or something similar. The parrot will then play your recording back to you so that you can hear how you sound. It will also comment on your audio level as to whether it is OK or not.
You are now connected to AllStarLink network and have the world at your finger tips. Below is a small list of nodes in the UK, Australia and America to get you started chatting with other HAMs via your node.
57881 Matrix HAM Radio Space AllStarLink Node (Hosted by Dk1MI)
55553 ASL Parrot for testing
41522 M0HOY HUBNet Manchester, UK
60349 VK6CIA 439.275 Perth, Western Australia
51077 VK6SEG South West Hub B Albany WA
2167 M0JKT FreeSTAR UK HUB 2 freestar.network
53573 NWAG NW AllStar Group Lancashire, UK
27339 East Coast Hub Wilmington NC USA
M0AWS AllStarLink Node 61928 sitting on the equipment rack
Thanks to Michael, DK1MI for building and hosting the Matrix HAM Radio Space AllStarLink Node (57881) and getting us all started in the world of AllStarLink!
We hope to be having regular Matrix Net’s on the node soon for all Matrix members and visitors. We’ll organise days/times via the Digital Voice room.
More soon …
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