||1 year ago|
|_UI/_web_interface||1 year ago|
|_receiver||1 year ago|
|_signal_processing||1 year ago|
|util||1 year ago|
|.gitignore||2 years ago|
|LICENSE||2 years ago|
|README.md||1 year ago|
|gui_run.sh||2 years ago|
|kill.sh||2 years ago|
|settings.json||1 year ago|
Kraken SDR Passive Radar
Please consult our Passive Radar Wiki page at https://github.com/krakenrf/krakensdr_docs/wiki/08.-Passive-Radar for more information.
Quickstart Raspberry Pi 4 Image
The passive radar software is preinstalled on the DOA PI4 Image at https://github.com/krakenrf/krakensdr_doa/releases/
By default this image runs the DOA direction finding code on boot.
To change to the passive radar code, connect a monitor and keyboard (or SSH in), and edit start.sh in the home folder. You will need to comment out the DOA code run lines, and uncomment the passive radar lines.
Make sure to change the heimdall preconfig file to pr_2ch_2pow20, pr_2ch_2pow21 or pr_2ch_2pow22
Quickstart VirtualBox Image
See our Wiki for more information about our VirtualBox Image and where to download it https://github.com/krakenrf/krakensdr_docs/wiki/10.-VirtualBox-and-Docker-Images#virtualbox
Once you are in the OS to start the passive radar code, open a terminal and browse to the
krakensdr_pr folder. Then run
./kraken_pr_start.sh. Next see the Running heading below.
This is only required if you are not using the premade images, and are setting up the software from a clean system.
- Install the prerequisites
sudo apt update sudo apt install libfftw3-3 sudo apt install libfftw3-dev
- Install Heimdall DAQ
If not done already, first, follow the instructions at https://github.com/krakenrf/heimdall_daq_fw/tree/development to install the Heimdall DAQ Firmware.
- Set up Miniconda environment
You will have created a Miniconda environment during the Heimdall DAQ install phase.
Please run the installs in this order as we need to ensure a specific version of dash is installed.
conda activate kraken conda install pip conda install quart conda install pandas conda install orjson conda install matplotlib pip3 install dash_bootstrap_components pip3 install quart_compress pip3 install dash_devices pip3 install pyapril pip3 install cython pip3 install pyfftw conda install dash==1.20.0 conda install werkzeug==2.0.2
- Clone the krakensdr_pr software
cd ~/krakensdr git clone https://github.com/krakenrf/krakensdr_pr
Copy the the krakensdr_doa/util/kraken_doa_start.sh and the krakensdr_doa/util/kraken_doa_stop.sh scripts into the krakensdr root folder of the project.
cd ~/krakensdr cp krakensdr_pr/util/kraken_pr_start.sh . cp krakensdr_pr/util/kraken_pr_stop.sh .
Local operation (Recommended)
Then browse to KRAKEN_IP_ADDR:8080 in a webbrowser on a computer on the same network.
When the GUI loads, make sure to set an appropriate passive radar preconfig ini for the Heimdall DAQ. For example, choose "pr_2ch_2pow21", then click on "Reconfigure and Restart DAQ". This will configure the DAQ for passive radar, and then start the processing.
Please be patient on the first run, at it can take 1-2 minutes for the JIT numba compiler to compile the numba optimized functions, and during this compilation time it may appear that the software has gotten stuck. On subsqeuent runs this loading time will be much faster as it will read from cache.
Use CH0 to connect your reference antenna, and CH1 for your surveillance antenna.)
- Start the DAQ Subsystem either remotely. (Make sure that the daq_chain_config.ini contains the proper configuration) (See:https://github.com/krakenrf/heimdall_daq_fw/Documentation)
- Set the IP address of the DAQ Subsystem in the settings.json, default_ip field.
- Start the DoA DSP software by typing:
- To stop the server and the DSP processing chain run the following script:
After starting the script a web based server opens at port number 8088, which then can be accessed by typing "KRAKEN_IP:8080/" in the address bar of any web browser. You can find the IP address of the KrakenSDR Pi4 wither via your routers WiFi management page, or by typing "ip addr" into the terminal. You can also use the hostname of the Pi4 in place of the IP address, but this only works on local networks, and not the internet, or mobile hotspot networks.