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ISSN: 1820-0206
First published in
1950
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doi:
10.5937/str2002029S
Vol. 70, No.2
(2020), Pages: 29-34
Impressum
Contents
Interception and
Detection of Drones Using RF-based Dataset of Drones
Tamara
Šević
Vasilija Joksimović
Ivan Pokrajac
Brusin Radiana
Boban Sazdić-Jotić
Danilo Obradović
The usage of Unmanned
Aerial Vehicles (UAVs) is accessible for different applications to a
wide range of users. However, this wide range of users raises a
great concern about the threat (passive or active threats) of
malicious actors who can use UAVs for criminal activities. The
detection of UAVs is considered to be the first step in the process
of UAVs countering (c-UAV). Nowadays, the c-UAV applications offer
systems that include different sensors such as electro-optical,
thermal, acoustic, radar and radio frequency sensors. Information
gathered by these sensors can be fused in order to increase the
reliability of threat’s detection, classification and
identification. It is necessary to have datasets from the different
sensors in order to develop methods and algorithms for detection and
classification of UAVs. This paper presents a dataset of
communication signals between the drone and the control station that
is used in the process of detection and classification.
Key words: dataset, detection, Unmanned Aerial Vehicle, RF sensor.
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