Cooperative Electronic Attack for Groups of Unmanned Air Vehicles based on Multi-agent Simulation and Evaluation
In this paper, the issue of path planning is addressed for unmanned air vehicles (UAVs) cooperative joint-forces electronic attack operating in a hostile environment. Specifically, the objective is to plan path to a target location in a way that minimizes exposure to threats while keeping fuel usage at acceptable levels. We consider a scenario where a group of UAVs flies in a close formation and cooperates in their use of jamming resources to prevent being tracked by Surface-to-Air Missile (SAM) tracking radars. The main goal of this research effort is develop cooperating UAVs within multi-agent simulation environment. Simulations were generated to test the path planning and control strategies given UAVs/SAM tracking radar network scenarios, and overall UAVs cooperative electronic attack performance in each simulation was analyzed.
Keywords: Multi-agent, Resource Allocation, Heuristically search, Path planning.
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ABOUT THE AUTHORS
Yee Ming Chen
Professor
Wen-Yuan Wu
Master student
Yee Ming Chen
Professor
Wen-Yuan Wu
Master student