This is fork of blah2, modified to run on a Raspberry Pi 5.
A real-time radar which can support various SDR platforms. See a live instance at http://radar4.30hours.dev.
- 2 channel processing for a reference and surveillance signal.
- Designed to be used with external RF source (for passive radar or active radar).
- Outputs delay-Doppler maps to a web front-end.
- Record raw IQ data by pressing spacebar on the web front-end.
- Saves delay-Doppler maps in a JSON array.
- SDRplay RSPDuo.
- USRP (only tested on the B210).
- 2x HackRF with clock synchronisation and hardware trigger.
- 2x RTL-SDR with clock synchronisation.
- KrakenSDR with 2x channels only.
The build environment consists of a docker-compose.yml file running the following services;
- The radar processor responsible for IQ capture and processing.
- The API middleware responsible for reading TCP ports for delay-Doppler map data, and exposing this on a REST API.
- The web front-end displaying processed radar data.
Building the code using the following instructions;
- Install docker and docker-compose on the host machine.
Step 1: Update Your Raspberry Pi
Run the following commands to ensure your Raspberry Pi is up-to-date:
sudo apt update
sudo apt upgrade -y
Step 2: Install Required Packages
Install dependencies required to add Docker’s repository:
sudo apt install -y apt-transport-https ca-certificates curl software-properties-common gnupg
Step 3: Add Docker’s Official GPG Key
Add Docker’s GPG key to ensure downloads are trusted:
sudo install -m 0755 -d /etc/apt/keyrings curl -fsSL https://download.docker.com/linux/debian/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg sudo chmod a+r /etc/apt/keyrings/docker.gpg
Step 4: Add Docker’s Repository
Add Docker’s repository for ARM-based devices like Raspberry Pi:
echo \ "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/debian \ "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \ sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
Step 5: Install Docker
Update the package index and install Docker:
sudo apt update
sudo apt install -y docker-ce docker-ce-cli containerd.io
Step 6: Verify Installation
Check if Docker is installed correctly:
docker --version
Step 7: Enable Docker to Start on Boot
Enable Docker service to run at startup:
sudo systemctl enable docker
sudo systemctl start docker
Step 8: (Optional) Run Docker Without sudo
If you want to run Docker commands without sudo, add your user to the docker group:
sudo usermod -aG docker $USER
Log out and back in for the changes to take effect.
Step 9: Test Docker
Run a test Docker container to ensure everything works:
docker run hello-world
Check Docker-Compose:
docker compose version
- Install Graph Viz
sudo apt install graphviz- Clone this repository to some directory.
- Install SDRplay API to run service on host.
- Edit the
config/config.ymlfor desired processing parameters. - Run the docker-compose command.
sudo git clone https://github.com/offworldlab/retinanode /opt/blah2
cd /opt/blah2
sudo chown -R $USER .
sudo chmod a+x ./lib/sdrplay-3.15.2/SDRplay_RSP_API-Linux-3.15.2.run
sudo ./lib/sdrplay-3.15.2/SDRplay_RSP_API-Linux-3.15.2.run --tar -xvf -C ./lib/sdrplay-3.15.2
cd lib/sdrplay-3.15.2/ && sudo ./install_lib.sh && cd ../../
sudo docker network create blah2
sudo systemctl enable docker
sudo docker compose up -d --buildThe radar processing output is available on http://localhost:49152.
- See
doxygenpages hosted at http://doc.30hours.dev/blah2.
- Add a tracker in delay-Doppler space.
- Support for the HackRF/RTL-SDR using a front-end mixer, to sample 2 RF channels in 1 stream.
- Support for the Kraken SDR with all 5 channels.
- Add SoapySDR support for the C++ API to include a wide range of SDR platforms.
- If the SDRplay RSPduo does not capture data, restart the API service (on the host) using the script
sudo ./script/blah2_rspduo_restart.bash.
Pull requests are welcome - especially for adding support for a new SDR.
- Currently have an issue where the USRP B210 is timing out after 5-10 mins and crashes the code. Convinced it's an issue with my usage of the API - contact me for more info.
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Join the Discord chat for sharing results and support.
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Watch a Youtube video showing the hardware and software setup.
