All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Discrete Mathematical Model for GNSS Interference Detection Using ADS-B Quality Parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F23%3A00369901" target="_blank" >RIV/68407700:21260/23:00369901 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.33012/2023.19383" target="_blank" >https://doi.org/10.33012/2023.19383</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.33012/2023.19383" target="_blank" >10.33012/2023.19383</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Discrete Mathematical Model for GNSS Interference Detection Using ADS-B Quality Parameters

  • Original language description

    The growing dependence of critical infrastructure on Global Navigation Satellite Systems (GNSS) as an accurate and reliable positioning, navigation and timing (PNT) source gives rise to the importance of GNSS interference detection. Although jamming detection capabilities are present in the current market, predominately in the form of specialised GNSS interference detectors or GNSS receivers add-ons. These provide a limited coverage area and their implementation into critical infrastructure operations is rather slow. Therefore, this paper focuses on the detection of GNSS interference using widespread Automatic Dependent Surveillance-Broadcast (ADS-B) technology. The research builds upon previous work and addresses some of its limitations by developing a discrete mathematical model for GNSS jamming detection based on ADS-B quality parameters. To develop and validate the model, a series of experiments involving GNSS jamming in live-sky environments were conducted. The controlled experiments enabled close monitoring of the aircraft navigation systems allowing for precise determination of the aircraft’s jammed/unjammed status. Approximately 75% of the jamming experiment data was used for model development and tuning, while the remaining 25% was reserved for evaluation. The model evaluation leveraging the confusion matrix showed a positive jamming detection rate of over 99% and a false positive jamming detection rate of under 1%. Additionally, the model was tested on ADS-B data from the Atlantic Ocean where no GNSS jamming is expected. Using this data set the model exhibited an under 1% false positive jamming detection rate.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20304 - Aerospace engineering

Result continuities

  • Project

    <a href="/en/project/VK01030071" target="_blank" >VK01030071: Aviation resiliance against GNSS and ADS-B spoofing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)

  • ISBN

    978-0-936406-35-0

  • ISSN

    2331-5954

  • e-ISSN

    2331-5954

  • Number of pages

    8

  • Pages from-to

    4145-4152

  • Publisher name

    The Institute of Navigation (ION)

  • Place of publication

    Manassas, VA

  • Event location

    Denver, Colorado

  • Event date

    Sep 11, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article