Guidance law for a surveillance UAV swarm tracking a high capability malicious UAV
Paper
Paper/Presentation Title | Guidance law for a surveillance UAV swarm tracking a high capability malicious UAV |
---|---|
Presentation Type | Paper |
Authors | Brown, Jason (Author) and Raj, Nawin (Author) |
Journal or Proceedings Title | Proceedings of the 2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob 2021) |
Number of Pages | 7 |
Year | 2021 |
Place of Publication | United States |
ISBN | 9781728194752 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/APWiMob51111.2021.9435240 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9435240 |
Conference/Event | 2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob 2021) |
Event Details | 2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob 2021) Parent IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob) Delivery Online Event Date 08 to end of 10 Apr 2021 Event Location Bandung, Indonesia |
Abstract | 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. |
Keywords | UAV, drone, networking, tracking, pursuit, guidance |
ANZSRC Field of Research 2020 | 460609. Networking and communications |
400702. Automation engineering | |
400703. Autonomous vehicle systems | |
400608. Wireless communication systems and technologies (incl. microwave and millimetrewave) | |
Public Notes | Accepted version deposited in accordance with the copyright policy of the publisher. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
School of Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q65vx/guidance-law-for-a-surveillance-uav-swarm-tracking-a-high-capability-malicious-uav
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