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ShanghaiTech University Knowledge Management System
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]) |
ISSN | 0030-4018 |
EISSN | 1873-0310 |
卷号 | 527 |
发表状态 | 已发表 |
DOI | 10.1016/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...
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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). |
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