Soleymani, S., Goudarzi, S., Liu, X. et al. (3 more authors) (2023) Multi-target tracking using a swarm of UAVs by Q-learning algorithm. In: 2023 Sensor Signal Processing for Defence Conference (SSPD) Proceedings. Sensor Signal Data Processing in Defence (SSPD) 2023 Conference, 12-13 Sep 2023, Edinburgh, Scotland, UK. Institute of Electrical and Electronics Engineers (IEEE) ISBN 979-8-3503-3732-7
Abstract
This paper proposes a scheme for multiple unmanned aerial vehicles (UAVs) to track multiple targets in challenging 3-D environments while avoiding obstacle collisions. The scheme relies on Received-Signal-Strength-Indicator (RSSI) measurements to estimate and track target positions and uses a Q-Learning (QL) algorithm to enhance the intelligence of UAVs for autonomous navigation and obstacle avoidance. Considering the limitation of UAVs in their power and computing capacity, a global reward function is used to determine the optimal actions for the joint control of energy consumption, computation time, and tracking accuracy. Extensive simulations demonstrate the effectiveness of the proposed scheme, achieving accurate and efficient target tracking with low energy consumption.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in 2023 Sensor Signal Processing for Defence Conference (SSPD) Proceedings is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Multi-target tracking; UAV, Q-Learning; Edge Computing |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number UNITED STATES DEPARTMENT OF DEFENSE UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Jul 2023 15:43 |
Last Modified: | 11 Oct 2023 08:36 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/SSPD57945.2023.10256967 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201100 |
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Filename: Multi-Target Tracking Using a Swarm of UAVs.pdf
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