METHODS FOR DETECTION OF UNMANNED AERIAL VEHICLES BASED ON THE ANALYSIS OF NETWORK TRAFFIC
Abstract
With the increasing popularity of unmanned aerial vehicles (UAVs), and their availability in 2014-2015 significantly increased the number of accidents and collisions with obstacles. In this regard, in 2015 in the Russian Federation, as well as other countries the laws governing piloting rules and UAV flights were adopted. One of the main provisions of these laws was the mandatory registration of all UAV 250 grams heavier. In connection with the advent of the regulatory framework regarding the UAV sharply raises the question of the illegal exploitation of undocumented UAV persons who do not have permission to perform the flight. Decision of the situation is to develop equipment that will allow to fix the fact launch the UAV, its coordinates and the coordinates of the operator, as well as an emergency landing of the UAV. This paper proposes a method and an algorithm for the detection of UAVs and associated flight parameters based on the analysis of network traffic, intercepted the radio.
About the Authors
R. Kirichek
Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича
Russian Federation
Russian Federation
A. Kuleshov
Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича
Russian Federation
Russian Federation
A. Koucheryavy
Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича
Russian Federation
Russian Federation
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Review
For citations:
Kirichek R., Kuleshov A., Koucheryavy A. METHODS FOR DETECTION OF UNMANNED AERIAL VEHICLES BASED ON THE ANALYSIS OF NETWORK TRAFFIC. Proceedings of Telecommunication Universities. 2016;2(1):77-82. (In Russ.)
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