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Aircraft resilience to GNSS jamming and impact on ADS-B quality indicators

Published online by Cambridge University Press:  24 January 2025

S. Pleninger
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
J. Hospodka
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
J. Steiner*
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
P. Lukeš
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
T. Topková
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
T. Pilmannová
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
J. Kraus
Affiliation:
Faculty of Transportation Sciences, Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic
*
Corresponding author: J. Steiner; Email: steinja8@cvut.cz
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Abstract

The presented research investigates the impact of interference on the performance of aircraft Global Navigation Satellite System (GNSS) receivers with a specific focus on the behaviour of Automatic Dependent Surveillance-Broadcast (ADS-B) position quality indicators. Several experiments were performed with different aircraft types, such as Airbus, Boeing, Beechcraft King Air B350 or Tecnam, and using various intensities of GNSS jamming. The behaviour of various quality indicators, such as the Navigation Integrity Category, Navigation Accuracy Category, Source Integrity Level and System Design Assurance transmitted in different types of ADS-B messages, is analysed. We investigate not only situations where the quality indicators drop to zero, but also the complete evolution of the changes in the indicators as a function of the increasing power of the jamming signal. Based on the analysis of changes in the ADS-B quality indicators, the estimation of the most likely interference signal power required to discontinue the tracking of an already acquired GPS L1 Coarse/Acquisition signal is made. Additionally, the interference signal power to prevent re-acquisition is also estimated. The findings improve the understanding of interference effects and can support the development of robust interference mitigation techniques in aviation applications.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal Aeronautical Society
Figure 0

Figure 1. Values of ADS-B quality indicators during B737 measurement with zero aircraft-jammer elevation.

Figure 1

Figure 2. Values of ADS-B quality indicators during B737 measurement with negative aircraft-jammer elevation.

Figure 2

Figure 3. Evolution of quality indicators values for measurement A$319_{{\rm{zer}}1}$.

Figure 3

Figure 4. Evolution of quality indicators values for measurement A$319_{{\rm{zer}}2}$.

Figure 4

Figure 5. Evolution of quality indicators values for measurement A$319_{{\rm{zer}}3}$.

Figure 5

Figure 6. Evolution of quality indicators values for measurement A$319_{{\rm{zer}}4}$.

Figure 6

Figure 7. Evolution of ADS-B quality indicators for measurement B$350_1$.

Figure 7

Figure 8. Evolution of ADS-B quality indicators for measurement B$350_2$.

Figure 8

Figure 9. Flight trajectory with NACp values colour-coding for measurements B$350_1$ and B$350_2$ (scale 1:65,000).

Figure 9

Figure 10. ADS-B quality indicators values for measurement ${\textrm{P2006T}_1}$.

Figure 10

Figure 11. ADS-B quality indicators values for measurement ${\textrm{P2006T}_2}$.

Figure 11

Table 1. Measured/calculated values at which the GNSS receiver stopped providing position data in ADS-B messages across all conducted measurements

Figure 12

Table 2. Measured/calculated values at which the GNSS receiver was able to re-establish the provision of positional data

Figure 13

Table 3. Jamming impact area radiuses for 95% and 5% position information degradation probabilities in relation to different jammer output

Figure 14

Figure 12. Probability of GNSS position loss as a function of jamming signal power based on logistic distribution.

Figure 15

Figure 13. Dependence of received jamming signal power on distance for 1 W, 5 W, 10 W and 20 W GNSS jammers. The two dashed lines represent the boundaries of 95% and 5% probability of GNSS position information being impacted by jamming.