Signal statistics dashboard for Mode-S/ADS-B signals from dump1090
Project description
dump1090 Real-Time Signal Statistics
This project provides a web application for real-time monitoring of ADS-B messages using dump1090. The application consists of a FastAPI backend and a frontend that displays various statistics in real-time using Chart.js.
Features
- Message Rate Statistics: Computes and displays message rates over different intervals (5s, 15s, 30s, 60s, 300s).
- Signal Strength Statistics: Computes and displays minimum, maximum, and average signal strength over 30 seconds.
- Distance Statistics: Computes and displays minimum, maximum, and percentile distances over 30 seconds.
- Coverage Statistics: Displays coverage statistics in a radar chart, showing the distribution of messages by distance and bearing.
- RSSI/Distance Ratio: Displays the ratio of RSSI to distance for each bearing segment.
Quick Start
Prerequisites
dump1090running on the same machine or accessible via network.- Python 3.10+ installed on your machine. Note: Raspbian typically comes with Python pre-installed.
Installation
-
Install Python: If you don't have Python installed, download and install it from python.org.
-
Install the application: Open a terminal or command prompt and run:
pip install signalstats1090
This will install the
signalstats1090command-line tool, which you can use to run the backend server. -
Run the application: Execute the following command:
signalstats1090 run --antenna-lat <antenna_lat> --antenna-lon <antenna_lon>
The
--antenna-latand--antenna-lonarguments are required. You can find the latitude and longitude of your antenna using Google Maps or similar services.
Command Line Arguments
The script supports the following command line arguments:
--host: Host to run the web server on (default:0.0.0.0).--port: Port to run the web server on (default:8000).--antenna-lat: Antenna latitude (required for running the server).--antenna-lon: Antenna longitude (required for running the server).--dump1090-host: Host running dump1090 (default:localhost).--dump1090-port: Port for dump1090 (default:30005).
Installation as a Service
You can install the program as a service using the provided setup script:
-
Download the setup script:
wget -qO- https://raw.githubusercontent.com/clemensv/signalstats1090/main/setup.sh > ~/signalstats1090_setup.sh chmod +x ~/signalstats1090_setup.sh
-
Run the setup script with the required arguments:
~/signalstats1090_setup.sh install --host <host> --port <port> --antenna-lat <antenna_lat> --antenna-lon <antenna_lon> --dump1090-host <dump1090_host> --dump1090-port <dump1090_port>
The
--antenna-latand--antenna-lonarguments are required.
Arguments for the setup script
--host: Host to run the web server on (default:0.0.0.0).--port: Port to run the web server on (default:8000).--antenna-lat: Latitude of the antenna (required).--antenna-lon: Longitude of the antenna (required).--dump1090-host: Host running dump1090 (default:localhost).--dump1090-port: Port for dump1090 (default:30005).
Updating the Service
To update the service to the latest version, run the setup script with the update option:
~/signalstats1090_setup.sh update
This will upgrade the package to the latest version in the service account context and restart the service.
Charts
- Message Rate Chart: Displays message rates over different intervals (5s, 15s, 30s, 60s, 300s).
- Signal Strength Chart: Displays minimum, average, and maximum signal strength over 30 seconds.
- Distance Chart: Displays minimum, maximum, and percentile distances over 30 seconds.
- Distance Histogram Chart: Displays the count of position readings in 30km buckets (up to 300km).
- Coverage Chart: Displays coverage statistics in a radar chart, showing the distribution of messages by distance and bearing.
- RSSI/Distance Ratio Chart: Displays the ratio of RSSI to distance for each bearing segment.
Viewing the Frontend
To view the frontend, open a web browser and navigate to:
http://localhost:8000
or whatever host and port you specified when running the server.
License
This project is licensed under the MIT License.
© 2025 Clemens Vasters. All rights reserved.
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