Data Fusion of Air Combat Based on Reinforcement Learning

被引：0
|
作者：
Zhou, Tongle [1 ]
Chen, Mou [1 ]
Zou, Jie [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China
[2] Luoyang Inst Electroopt Equipment Avic, Sci & Technol Electron Opt Control Lab, Luoyang 471023, Peoples R China
来源：
2019 IEEE 4TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2019) | 2019年
关键词：
data fusion; air combat; cubic spline interpolation; reinforcement learning;
D O I：
10.1109/icarm.2019.8834217
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To improve the accuracy of data fusion system in modern air combat, an improved method based on reinforcement learning technique is developed in this paper. Firstly, the cubic spline interpolation is used for time alignment of multi-source data. Then, a reinforcement learning based data fusion method is proposed. The fusion accuracy reinforcement is realized by the error between observations and actual value. With an example, the simulation results indicate that the developed method is effective and feasible for the multi-sensor data fusion.
引用
收藏
页码：492 / 497
页数：6
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