Multi-Target Tracking With Dual-Functional Radar-Communication UAV Swarm
Author:
Affiliation:
1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
2. State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4234/10678774/10613852.pdf?arnumber=10613852
Reference15 articles.
1. Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking
2. Distributed Federated Deep Reinforcement Learning Based Trajectory Optimization for Air-Ground Cooperative Emergency Networks
3. Efficient Resource Allocation for Multi-UAV Communication Against Adjacent and Co-Channel Interference
4. Cooperative Control of Physical Collision and Transmission Power for UAV Swarm: A Dual-Fields Enabled Approach
5. Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication
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