ASSESSING THE EFFICIENCY OF DRONE JAMMERING SYSTEMS USING THE COINCIDENCE SIGNAL METHOD

Abstract

In recent years, drones -unmanned aerial vehicles have been actively introduced into a variety of areas, from aerial photography and monitoring to delivery of goods and rescue operations. Their availability and rapid technological development make UAVs indispensable assistants, but at the same time contribute to the growth of security threats. There are increasingly frequent cases of unauthorized use of drones to penetrate protected facilities, transport prohibited goods, collect information, and organize sabotage or terrorist acts, especially near critical infrastructure facilities. In this regard, government agencies, as well as private security companies, are forced to pay more and more attention to the prevention of such incidents. Such incidents cause serious concern among security experts and require to search for new solutions to counter these threats, as well as the improvement of the existing methods.

The key vulnerability of drones is their dependence on radio frequency remote control, which makes it possible to use various means of electronic suppression. Such systems are capable of blocking or distorting control signals, preventing drones from performing dangerous tasks and reducing possible damage. One of the most effective modern methods is the coincidence signal method, which creates interference identical to the drone's control signal. This allows for more reliable disruption of communication between the operator and the device, even if the drone is equipped with interference-resistant communication.

However, the effectiveness of jamming systems depends on many factors: the type of equipment, the characteristics of the object, the features of the drones and the operating conditions. This article is devoted to the analysis of the effectiveness of the coincidence signal method in drone electronic suppression systems.