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DIGUE : Détection d’Interférences Gnss pour U.a.v autonomE

Victor Truong 1, 2, 3
Abstract : This study is part of the field of GNSS interference detection, in particular spoofing interferences. Spoofing consist in inducing a false position to a receiver, i.e a position different from the receiver's true position. The study's aim is to propose an approach for detecting spoofing interferences on an autonomous UAV using data directly available on the receivers. With the study of the state of the art of spoofing detection methods, the monitoring of the clock bias seemed like a potential method. A numerical modeling of a spoofing attack on a receiver showed that the clock bias undergoes jumps when it switch from the GNSS constellation to the spoofing constellation. By replicating this attack on a commercial receivers using real signals, the clock bias shows higher jumps than expected by the model and in some cases the clock drift also show some jumps. These jumps have been observed on different more or less subtle attack scenarios, however the amplitude of the jumps seems random.To go further than the simple spoofing detection, an approach using a communicating drone formation has been proposed. This method is based on a movement protocol allowing to delimit a space area where the spoofer is supposed to be located. The current protocol is not yet fully completed but it offers a promising basis.The study of the behavior of the clock bias highlighted its interest in a GNSS spoofing detection strategy. Based on this observation, further work could be carried out on the development and implementation on a UAV of a detection algorithm based on the monitoring of the clock bias. The study of the use of a drone formation for the localization of a spoofer led to the basis of a promising solution. Further work could be carried out in order to complete the movement protocol and to validate its efficiency against different types of spoofers.
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Submitted on : Tuesday, December 8, 2020 - 11:21:36 AM
Last modification on : Thursday, December 10, 2020 - 10:37:07 AM
Long-term archiving on: : Tuesday, March 9, 2021 - 7:02:44 PM


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  • HAL Id : tel-03045956, version 1


Victor Truong. DIGUE : Détection d’Interférences Gnss pour U.a.v autonomE. Traitement du signal et de l'image [eess.SP]. Institut Polytechnique de Paris, 2020. Français. ⟨NNT : 2020IPPAS018⟩. ⟨tel-03045956⟩



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