Image: Eurocontrol

Blog Editor’s Note: We first heard the idea of using ADS-B as a way to detect GNSS disruption from an Aireon presentation at the Stanford PNT Symposium in 2020. Makes a lot of sense. If it can be detected using maritime AIS data, why not with similar aviation data?

We reported just the other day about a website where hobbyists were doing just that.

“Inside GNSS” has two recent articles about how folks are working to refine techniques.  Click on the titles below to access.

We spoke to our colleague Dr. Sherman Lo about the first article. His group was fortunate to be able to examine two real world examples of disruption as part of their work.

He and his team will present a paper on the topic at ION GNSS+ in Denver next month. We are looking forward to that!



Protecting GNSS for Safe Aviation

Detecting interference using machine learning algorithms to monitor ADS-B data.

Zixi Liu, Sherman Lo, Todd Walter, Stanford University

Analyzing Airborne GNSS Interference

Identifying GNSS interference based on ADS-B Out data and validating that data against confirmed interference from fielded airborne receivers.