TY - GEN
T1 - Synchronous Saturation Attack
T2 - 5th International Conference on Autonomous Unmanned Systems, ICAUS 2025
AU - He, Boming
AU - Zhou, Ruiyang
AU - Shang, Yan
AU - Zhang, Jianing
AU - Hu, Jinwen
AU - Xu, Zhao
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2026.
PY - 2026
Y1 - 2026
N2 - To address the issue of reduced threat effectiveness in multi-UAV vs. single-target air combat, where existing strategies lack consideration for coordinated attacks, a reinforcement learning method based on a synchronous saturation strike strategy is proposed. The method designs a coordination metric function based on each UAV’s velocity and distance to the target, quantifying the expected performance of synchronized strikes. This metric is then integrated into the reward function of a reinforcement learning framework. Trained within the Deep Deterministic Policy Gradient (DDPG) framework, the resulting policy enables coordinated, saturated strikes by multiple UAVs against the target. Simulation results demonstrate that the proposed strategy significantly reduces the average loss rate and increases the win rate, confirming its effectiveness and superiority.
AB - To address the issue of reduced threat effectiveness in multi-UAV vs. single-target air combat, where existing strategies lack consideration for coordinated attacks, a reinforcement learning method based on a synchronous saturation strike strategy is proposed. The method designs a coordination metric function based on each UAV’s velocity and distance to the target, quantifying the expected performance of synchronized strikes. This metric is then integrated into the reward function of a reinforcement learning framework. Trained within the Deep Deterministic Policy Gradient (DDPG) framework, the resulting policy enables coordinated, saturated strikes by multiple UAVs against the target. Simulation results demonstrate that the proposed strategy significantly reduces the average loss rate and increases the win rate, confirming its effectiveness and superiority.
KW - deep deterministic policy gradient
KW - multi-UAV air combat
KW - synchronous saturation attack
UR - https://www.scopus.com/pages/publications/105040592108
U2 - 10.1007/978-981-95-7641-8_52
DO - 10.1007/978-981-95-7641-8_52
M3 - 会议稿件
AN - SCOPUS:105040592108
SN - 9789819576401
T3 - Lecture Notes in Electrical Engineering
SP - 556
EP - 565
BT - Proceedings of 5th 2025 International Conference on Autonomous Unmanned Systems, ICAUS - Volume 1
A2 - Xie, Shaorong
A2 - Niu, Yifeng
A2 - Fu, Wenxing
A2 - Qu, Yi
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 17 October 2025 through 19 October 2025
ER -