Žilinská univerzita v Žiline
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Item Detekcia rušenia signálu GNSS na letiskách(University of Žilina, 2023) Velčický, Ján; Novák, AndrejAlthough the Global Navigation Satellite System provides an increased precision in instrument approaches, it is vulnerable to various signal interferences causing either decreased position accuracy or a complete loss of GNSS signal reception. One of the major threats to a GNSS receiver is the intentional interference known as jamming. Incoming airplanes can be seriously endangered by such signal loss. This bachelor’s thesis addresses the detection and classification of possible unintentional and intentional interference and spoofing attacks on airplanes in proximity to the airdrome Žilina. Besides that, other systems which show sufficient reliability are compared. Additionally, critical parts of RNP approach chart map are evaluated. Finally, a device called HackRF ONE is selected to be put in aerodrome proximity for detection of possible GNSS interference. Using this software defined radio as unmanned aerial vehicle alarm and protection system is another suggested possibility.Item Using SDR receivers for UAV detection(University of Zilina, 2021) Dianovský, Robert; Novák, AndrejAs the number of unmanned aerial vehicles (UAV) increases, new dangers arise for airports and other facilities. Because of this, the need for UAV detection and monitoring in areas, that might be endangered by their operation, is becoming an important topic. Introductory chapters are dedicated to the identification of potential risks posed by UAV operations and research of existing monitoring methods. The main goal of the paper, about which is this article, is to research the possibility of UAV detection by using accessible amateur SDR (Software-Defined Radio) for intercepting radio communications between UAV and its control station. Possible radio detection and localization methods were proposed based on the analysis of radio transmissions used in unmanned aerial systems. A simple theoretical design of SDR-based detection and localization system for monitoring unauthorized UAVs was developed by choosing appropriate methods. The principles and methods used in the design were experimentally demonstrated in several laboratory experiments. Successful realization of this design would possibly improve the availability of drone monitoring systems and reduce their production costs.