Recognition of GNSS Jamming Patterns in ADS-B Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00345046" target="_blank" >RIV/68407700:21260/20:00345046 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/NTCA50409.2020.9291039" target="_blank" >https://doi.org/10.23919/NTCA50409.2020.9291039</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/NTCA50409.2020.9291039" target="_blank" >10.23919/NTCA50409.2020.9291039</a>

Result language
angličtina
Original language name
Recognition of GNSS Jamming Patterns in ADS-B Data
Original language description
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.
Czech name
—
Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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