Reinforcement Learning Based Data Fusion Method for Multi-Sensors

doi:10.1109/JAS.2020.1003180

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Reinforcement Learning Based Data Fusion Method for Multi-Sensors
	Tongle Zhou; Mou Chen; Jie Zou
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7 期号:6 页码:1489-1497
关键词	Air combat cubic B-spline interpolation data fusion reinforcement learning
ISSN号	2329-9266
DOI	10.1109/JAS.2020.1003180
英文摘要	In order to improve detection system robustness and reliability, multi-sensors fusion is used in modern air combat. In this paper, a data fusion method based on reinforcement learning is developed for multi-sensors. Initially, the cubic B-spline interpolation is used to solve time alignment problems of multi-source data. Then, the reinforcement learning based data fusion (RLBDF) method is proposed to obtain the fusion results. With the case that the priori knowledge of target is obtained, the fusion accuracy reinforcement is realized by the error between fused value and actual value. Furthermore, the Fisher information is instead used as the reward if the priori knowledge is unable to be obtained. Simulations results verify that the developed method is feasible and effective for the multi-sensors data fusion in air combat.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43051]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Tongle Zhou,Mou Chen,Jie Zou. Reinforcement Learning Based Data Fusion Method for Multi-Sensors[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(6):1489-1497.
APA	Tongle Zhou,Mou Chen,&Jie Zou.(2020).Reinforcement Learning Based Data Fusion Method for Multi-Sensors.IEEE/CAA Journal of Automatica Sinica,7(6),1489-1497.
MLA	Tongle Zhou,et al."Reinforcement Learning Based Data Fusion Method for Multi-Sensors".IEEE/CAA Journal of Automatica Sinica 7.6(2020):1489-1497.