中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reinforcement Learning Based Data Fusion Method for Multi-Sensors

文献类型:期刊论文

作者Tongle Zhou; Mou Chen; Jie Zou
刊名IEEE/CAA Journal of Automatica Sinica
出版日期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
DOI10.1109/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.
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.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。