3lips/README.md
2024-03-05 11:51:07 +00:00

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# 3lips
Target localisation for multi-static radar using ellipse intersections. Not a dating app.
## Features
- Provides a JSON API for geolocation of targets given [blah2](http://github.com/30hours/blah2) radar nodes.
- Uses a [CesiumJS](http://github.com/CesiumGS/cesium) web front-end to visualise data.
- Ability to compare a number of algorithms for target localisation.
## Usage
- Install docker and docker-compose on the host machine.
- Clone this repository to some directory.
- Run the docker compose command.
```bash
sudo git clone http://github.com/30hours/3lips /opt/3lips
sudo docker compose up -d —build
```
The API front-end is available at [http://localhost:49156](http://localhost:49156).
## Method of Operation
The association uses the following algorithm:
- ADS-B associator will associate the highest SNR target within some delay and Doppler boundary around the truth.
The target localisation uses 1 of the following algorithms:
- **Ellipse parametric** samples an ellipse (2D) at 0 altitude. Find intersections between 3 or more ellipses such that the distance to each point is under some threshold.
- **Ellipsoid parametric** samples an ellipsoid (3D). Find intersections between 3 or more ellipsoids such that the distance to each point is under some threshold.
- **Spherical intersection** a closed form solution which applies when a common receiver or transmitter are used. As described in [Two Methods for Target Localization in Multistatic Passive Radar](https://ieeexplore.ieee.org/document/6129656).
The system architecture is as follows:
- The API server and HTML pages are served through a [Flask](http://github.com/pallets/flask) in Python.
- An initial API request with a new set of parameters (algorithms or radar nodes) will add these parameters to a common processing loop. This is so fair comparisons can be made between these parameters on the same input data.
- A set of API parameters will continue to be processed unless there is no API call in some specified time - see *main.py* to update. This allows the latest geolocation to be provided, rather than adding to the processing loop and waiting for the update from the next time increment.
## Future Work
- Implement an association algorithm that is not reliant on ADS-B truth.
- Choose to use detection or track data from each radar.
- Long term plots to show metrics such as 2D location accuracy to ADS-B, number of aircraft tracked, etc.
## License
[MIT](http://choosealicense.com/licenses/mit)