Research on Deep Q-Network Hybridization with Extended Kalman Filter in Maneuvering Decision of Unmanned Combat Aerial Vehicles

Research on Deep Q-Network Hybridization with Extended Kalman Filter in Maneuvering Decision of Unmanned Combat Aerial Vehicles

To adapt to the development trend of intelligent air combat, it is necessary to research the autonomous generation of maneuvering decisions for unmanned combat aerial vehicles (UCAV). This paper presents a maneuver decision-making method for UCAV based on a hybridization of deep Q-network (DQN) and...

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Bibliographic Details
Main Authors: Juntao Ruan, Yi Qin, Fei Wang, Jianjun Huang, Fujie Wang, Fang Guo, Yaohua Hu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
maneuvering decision
DQN
EKF
intelligent air combat
UCAV
Online Access:https://www.mdpi.com/2227-7390/12/2/261

Internet

https://www.mdpi.com/2227-7390/12/2/261

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