消息
×
loading..
Far-field phasing method based on deep learning for tiled-aperture coherent beam combination
2023-01-15
发表期刊OPTICS COMMUNICATIONS (IF:2.2[JCR-2023],2.0[5-Year])
ISSN0030-4018
EISSN1873-0310
卷号527
发表状态已发表
DOI10.1016/j.optcom.2022.128928
摘要

Deep learning, which is a branch of machine learning, has gained increasing attention in the field of optical measurement owing to its excellent recognition ability. In this study, we applied a deep learning method to measure the phase error from the far-field interference fringe pattern in the two-beam tiled-aperture coherent combination system. We performed both numerical simulations and experiments to verify the validity of this method. The RMS accuracy of the phasing method in the simulation was λ/60, whereas in the experiments, it was λ/30. As an extension, the measurement accuracy of the four-beam simulation reached least λ/40. It satisfies the phase synchronization requirements at 95% combining efficiency in the coherent beam combination system. © 2022 Elsevier B.V.

关键词Deep learning Learning systems Numerical methods Coherent beam combinations Combination systems Deep learning Far-field Learning methods Machine-learning Optical measurement Phase Phasing methods Recognition abilities
URL查看原文
收录类别SCI ; EI
语种英语
资助项目Shanghai Science and Technology Innovation Action Plan Project, China[19142202500] ; National Natural Science Foundation of China (NSFC), China[11974367] ; Strategic Priority Research Program of the Chinese Academy of Sciences, China[XDB1603] ; Program of Shanghai Academic/Technology Research Leader, China[20SR014501]
WOS研究方向Optics
WOS类目Optics
WOS记录号WOS:001021278400004
出版者Elsevier B.V.
EI入藏号20223812761598
EI主题词Optical data processing
EI分类号461.4 Ergonomics and Human Factors Engineering ; 723.2 Data Processing and Image Processing ; 921.6 Numerical Methods
原始文献类型Journal article (JA)
引用统计
正在获取...
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/278887
专题物质科学与技术学院_博士生
物质科学与技术学院_特聘教授组_梁晓燕组
通讯作者Peng, Chun
作者单位
1.Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China
2.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 200031, Peoples R China
3.Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, State Key Lab High Field Laser Phys, Shanghai 201800, Peoples R China
第一作者单位物质科学与技术学院
推荐引用方式
GB/T 7714
Li, Xunzheng,Peng, Chun,Liang, Xiaoyan. Far-field phasing method based on deep learning for tiled-aperture coherent beam combination[J]. OPTICS COMMUNICATIONS,2023,527.
APA Li, Xunzheng,Peng, Chun,&Liang, Xiaoyan.(2023).Far-field phasing method based on deep learning for tiled-aperture coherent beam combination.OPTICS COMMUNICATIONS,527.
MLA Li, Xunzheng,et al."Far-field phasing method based on deep learning for tiled-aperture coherent beam combination".OPTICS COMMUNICATIONS 527(2023).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Li, Xunzheng]的文章
[Peng, Chun]的文章
[Liang, Xiaoyan]的文章
百度学术
百度学术中相似的文章
[Li, Xunzheng]的文章
[Peng, Chun]的文章
[Liang, Xiaoyan]的文章
必应学术
必应学术中相似的文章
[Li, Xunzheng]的文章
[Peng, Chun]的文章
[Liang, Xiaoyan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。