The non-destructive methods of fight against UAVs

Krátký, Miroslav; Minarik, Vaclav

doi:10.1109/miltechs.2017.7988845

Cited by 17 publications

(12 citation statements)

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“…Research on the C-UAV domain is now focused on active defense against the UAV. There is work on lethal or nonlethal elimination by UAVs [19,44], but this research is still in progress. This topic has been discussed and researched intensively [45,46,47,48].…”

Section: Discussion and Future Directionsmentioning

confidence: 99%

“…The miniaturization and the capability of operating for longer periods (thanks to batteries with a greater capacity), along with the implementation of other advanced technologies, enable UAS misuse. Therefore, defense will increasingly depend on the ability to effectively detect potentially rogue UASs and to lethally or nonlethally eliminate them [19]. We use the term “nonlethal elimination” to refer to ways in which one can take control of a drone and force it to land or when the drone’s on-board system is so jammed that it is not able to continue flight or fulfil its task.…”

Section: Introductionmentioning

confidence: 99%

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Multispectral Detection of Commercial Unmanned Aerial Vehicles

Farlik

Krátký

Časar

et al. 2019

Sensors

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The fight against unmanned vehicles is nothing new; however, especially with the arrival of new technologies that are easily accessible for the wider population, new problems are arising. The deployment of small unmanned aerial vehicles (UAVs) by paramilitary organizations during conflicts around the world has become a reality, non-lethal “paparazzi” actions have become a common practice, and it is only a matter of time until the population faces lethal attacks. The basic prerequisite for direct defense against attacking UAVs is their detection. The authors of this paper analysed the possibility of detecting flying aircraft in several different electro-magnetic spectrum bands. Firstly, methods based on calculations and simulations were chosen, and experiments in laboratories and measurements of the exterior were subsequently performed. As a result, values of the radar cross section (RCS), the noise level, the surface temperature, and optical as well as acoustic traces of tested devices were quantified. The outputs obtained from calculated, simulated, and experimentally detected values were found via UAV detection distances using specific sensors working in corresponding parts of the frequency spectrum.

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Section: Discussion and Future Directionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multispectral Detection of Commercial Unmanned Aerial Vehicles

Farlik

Krátký

Časar

et al. 2019

Sensors

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“…However, this detection becomes considerably harder if the UAV is managed only by Wi-Fi in an electronically complex environment. Contemporary modern cities are full of devices that use the same Wi-Fi standards, and that hides the UAV' control signal among the other Wi-Fi networks within its range [7].…”

Section: Signal Detection Of the Uavmentioning

confidence: 99%

Electronic Warfare Methods Combatting UAVs

Krátký¹,

Minarik²,

Šustr³

et al. 2020

Adv. sci. technol. eng. syst. j.

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This paper describes methods of eliminating Unmanned Aerial Vehicles (UAV) nondestructively, using Electronic Warfare Methods. The aim is to introduce certain methods of UAV detection and elimination in a complex environment and terrain, e.g., in an urban and battlefield environment, that will result in finding the control device position and the UAV itself. Neural networks, cyber penetration elements, and wireless network scanning programs are all used to address this issue. The output of this article is a new concept of a comprehensive solution, which can be implemented into the existing complex system of electronic defence against UAVs, e.g., within the allied base. Conclusions will be also used to further improve the above-mentioned topics at the authors' workplace, within the frame of long-term projects and specifically as a part of solutions applicable to the force protection of combat support units, namely field artillery, which is described here in detail.

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“…The Federal Aviation Administration (FAA), similar authorities of China and Taiwan have all drawn up drone system usage scenarios. Besides, for the sake of preventing and controlling indecent invasions by drones, research into many AUDSs has progressively turned into an international research topic of interest [7][8][9]. There are lots of similar approaches of AUDS, such as spoofing attacks, tracing and early warning, detection, defeating, and signal interfering [10,11].…”

Section: Introductionmentioning

confidence: 99%

Development of UAV Tracing and Coordinate Detection Method Using a Dual-Axis Rotary Platform for an Anti-UAV System

Sheu

Chiu²,

et al. 2019

Applied Sciences

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The rapid development of unmanned aerial vehicles (UAVs) has led to many security problems. In order to prevent UAVs from invading restricted areas or famous buildings, an anti-UAV defense system (AUDS) has been developed and become a research topic of interest. Topics under research in relation to this include electromagnetic interference guns for UAVs, high-energy laser guns, US military net warheads, and AUDSs with net guns. However, these AUDSs use either manual aiming or expensive radar to trace drones. This research proposes a dual-axis mechanism with UAVs automatic tracing. The tracing platform uses visual image processing technology to trace and lock the dynamic displacement of a drone. When a target UAV is locked, the system uses a nine-axis attitude meter and laser rangers to measure its flight altitude and calculates its longitude and latitude coordinates through sphere coordinates to provide drone monitoring for further defense or attack missions. Tracing tests of UAV flights in the air were carried out using a DJI MAVIC UAV at a height of 30 m to 100 m. It was set up for drone image capture and visual identification for tracing under various weather conditions by a thermal imaging camera and a full-color camera, respectively. When there was no cloud during the daytime, the images acquired by the thermal imaging camera and full-color camera provide a high-quality image identification result. However, under dark weather, black clouds will emit radiant energy and seriously affect the capture of images by a thermal imaging camera. When there is no cloud at night, the thermal imaging camera performs well in drone image capture. When the drone is traced and locked, the system can effectively obtain the flight altitude and longitude and latitude coordinate values.

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The non-destructive methods of fight against UAVs

Cited by 17 publications

References 0 publications

Multispectral Detection of Commercial Unmanned Aerial Vehicles

Multispectral Detection of Commercial Unmanned Aerial Vehicles

Electronic Warfare Methods Combatting UAVs

Development of UAV Tracing and Coordinate Detection Method Using a Dual-Axis Rotary Platform for an Anti-UAV System

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