GNSS Interference Detection using
ADS-B

GPS Lab
Aerospace
CARNATIONS
Federal Aviation Administration
Stanford University

Resources for Monitoring GNSS Interference Using ADS-B

Accessing the Data

You can access the data using our GitHub repository, which includes Python tools for downloading JSON files directly from our website.

  • Select a start and end date, and specify the data type: jamming, spoofing, or dashboard.
  • Includes helper functions for visualizing heatmaps and events in Python.
  • Refer to the README for detailed usage instructions.

License and Attribution

All data provided through rfi.stanford.edu are licensed under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).

CC BY-NC 4.0

You are free to share and adapt the data for non-commercial purposes, provided that proper credit is given. When using the data in tools, websites, or visualizations, please include the following attribution:

“Data from rfi.stanford.edu, Stanford GPS Laboratory.”

For academic publications, please cite the following reference instead of the short attribution:

@article{liu2025locating,
            author  = {Liu, Zixi and Lo, Sherman and Blanch, Juan and Chen, Yu-Hsuan and Walter, Todd},
            title   = {Locating {GNSS} interference sources using {ADS-B} with non-linear least squares},
            journal = {NAVIGATION},
            year    = {2025},
            volume  = {72},
            number  = {3},
            doi     = {10.33012/navi.716},
            url     = {https://doi.org/10.33012/navi.716}
          }

If you would like to use the data for a commercial purpose, please contact us first. We will help coordinate with Stanford’s Office of Technology Licensing (OTL) to arrange a separate license.

Last updated: October 2025

Previous Website

If you’ve been following my work from the beginning, you might be wondering:“Where’s the old website?”
Well, good news — it’s still alive and kicking! 💪 I couldn’t bring myself to shut it down, so it’s still running 24/7.

You can visit it here: Visit Old Website

Common Q&A

If you have any questions or would like to explore potential collaborations, feel free to reach out to Zixi Liu, at liu1322@stanford.edu.

Acknowledgments

I want to express my sincere gratitude to Igor Barakaiev, Louis Weisdorf, and Yu-Hsuan Chen. The website would not look the way it does today without their support and contributions. It was a pleasure working with them!

Most importantly, heartfelt thanks to everyone at Stanford GPS Lab for the inspiring environment and constant encouragement!

Stanford GPS Lab