Counter UAS Solutions Through UAV Swarm Environments

Pozniak, Martin; Ranganathan, Prakash

doi:10.1109/eit.2019.8834140

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…However, this work specifically focused on formation management algorithms to realize intercept and capture formations for the mitigation of drone intrusions, without considering neutralization aspects. Instead, reference [26] proposed a multi-drone framework for the autonomous detection of rogue drones in a defined airspace and detailed the preliminary development of a hardware and software testbed, based on commercial systems.…”

Section: Cooperative Drone-based Counter-uas Systemsmentioning

confidence: 99%

A Review of Counter-UAS Technologies for Cooperative Defensive Teams of Drones

Castrillo

Manco

Pascarella

et al. 2022

Drones

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In recent years, the drone market has had a significant expansion, with applications in various fields (surveillance, rescue operations, intelligent logistics, environmental monitoring, precision agriculture, inspection and measuring in the construction industry). Given their increasing use, the issues related to safety, security and privacy must be taken into consideration. Accordingly, the development of new concepts for countermeasures systems, able to identify and neutralize a single (or multiples) malicious drone(s) (i.e., classified as a threat), has become of primary importance. For this purpose, the paper evaluates the concept of a multiplatform counter-UAS system (CUS), based mainly on a team of mini drones acting as a cooperative defensive system. In order to provide the basis for implementing such a system, we present a review of the available technologies for sensing, mitigation and command and control systems that generally comprise a CUS, focusing on their applicability and suitability in the case of mini drones.

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Section: Cooperative Drone-based Counter-uas Systemsmentioning

confidence: 99%

A Review of Counter-UAS Technologies for Cooperative Defensive Teams of Drones

Castrillo

Manco

Pascarella

et al. 2022

Drones

View full text Add to dashboard Cite

show abstract

“…An investigation into the hardware and software testbed for a Counter Unmanned Aerial System (CUAS) involving UAV swarms that use computer vision for target detection is presented in [8]. Although there is no explicit discussion of the capability of the malicious UAV relative to the surveillance UAVs, this testbed could in principle be employed to test various UAV swarm tracking strategies, including when the malicious UAV has superior capability than the surveillance UAVs.…”

Section: Previous Workmentioning

confidence: 99%

Guidance Law for a Surveillance UAV Swarm Tracking a High Capability Malicious UAV

Brown

Raj

2021

2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)

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Significant research is currently focused on the issue of malicious UAVs or drones disrupting critical services (e.g. civilian airport operations). One mitigation is to track or pursue a malicious UAV back to its point of origin (and possibly its owner) using a swarm of surveillance UAVs. This becomes of particular academic interest when the malicious UAV has superior capabilities to the individual surveillance UAVs (e.g. in terms of maximum speed). In this paper, we deduce a guidance law (i.e. a rule for determining the direction of flight) for individual surveillance UAVs to maximize the tracking time of a highly capable malicious UAV. We then demonstrate the validity of the analysis using some examples with realistic contemporary UAV capability parameters. The significance of this research is that, in a networked swarm of surveillance UAVs which communicate with each other, if each surveillance UAV maximizes its tracking time, there is a higher probability that the next closest surveillance UAV can be in a position to assume tracking responsibilities when the malicious UAV moves out of tracking range of the original surveillance UAV. In order to demonstrate this, a simulation of a networked swarm of surveillance UAVs which track a high capability malicious UAV is undertaken under various scenarios.

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Telemetry and Video Surveillance System in a UAV for the Control and Monitoring of Long-Distance Missions

Buele

Yánez-Arcos

Moscoso

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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Unmanned aerial vehicles (UAVs) are multidisciplinary technological tools, which are used in the military area for surveillance, reconnaissance and intelligence tasks in conflict zones. Due to its versatility and performance, this manuscript describes the implementation of a telemetry and video surveillance system to develop long-range missions in a UAV prototype. Communications subsystems and a ground station are integrated, with which an unmanned aerial system (UAS) is formed, carrying out the necessary calibrations and configurations. After a set of tests and the necessary adjustments, a long-distance mission is carried out and its energy consumption, height reached and trajectory tracking are analyzed. In addition, the video signal level obtained and the percentage of telemetry signal in each of the tests are established, which managed to be 90% with a distance greater than 4 km. They have good benefits, with a low economic investment, representing an interesting proposal for developing countries with a limited budget for their improvement.

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Counter UAS Solutions Through UAV Swarm Environments

Cited by 8 publications

References 3 publications

A Review of Counter-UAS Technologies for Cooperative Defensive Teams of Drones

A Review of Counter-UAS Technologies for Cooperative Defensive Teams of Drones

Guidance Law for a Surveillance UAV Swarm Tracking a High Capability Malicious UAV

Telemetry and Video Surveillance System in a UAV for the Control and Monitoring of Long-Distance Missions

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