Recognition of GNSS Jamming Patterns in ADS-B Data
Petr Lukeš, Tereza Topková, Tomáš Vlček, Stanislav Pleninger
Abstract
With the increasing dependency on the Global Navigation Satellite System (GNSS) for navigation and surveillance, aviation is focusing on mitigation of threats caused by a possible system unavailability due to jamming or spoofing. This research deals with pattern recognition of the time evolution of quality indicators in transmitted Automatic Dependent Surveillance - Broadcast (ADS-B) messages during GNSS jamming in non jammed data over Central Europe. An evaluation of the quality indicators from all messages within a one month interval is presented. A practical jamming experiment was done to determine how the quality indicators are changing during a jamming presence. Afterwards, the results of the experiment are used as a foundation for the proposed jamming detection technique using ADS-B data based on pattern recognition and cluster analysis. A natural presence of a quality indicators variability is proven in the data using these methods, similar to the indicators variability during GNSS jamming.