Deep learning assisted far-field multi-beam pointing measurement

doi:10.1117/1.OE.62.8.086102

	Deep learning assisted far-field multi-beam pointing measurement
	Li, Xunzheng1,2 ; Peng, Chun 3,4; Liang, Xiaoyan2
	2023-08-01
发表期刊	OPTICAL ENGINEERING
ISSN	0091-3286
EISSN	1560-2303
卷号	62 期号:8
发表状态	已发表
DOI	10.1117/1.OE.62.8.086102
摘要	We present and experimentally verify a deep learning approach to synchronously measure the multi-beam pointing error for coherent beam combining systems. This approach uses only one detector by acquiring the far-field interference focal spot, which can greatly reduce the complexity in coherent beam combining systems with high accuracy. The amplitude modulation is utilized to eliminate the confusion of the label values in symmetric system. The position assist camera is used to acquire accurate label value, which solves the mismatch between sample and label value caused by ambient vibration in long-term data acquisition. In simulation and experiment, the RMS accuracy is about 0.3 and 0.5 μrad, respectively, which can greatly meet the pointing measurement requirement in coherent beam combining systems. The result shows that this approach can be well applied to multi-beam coherent combination for high-power laser systems. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
关键词	Deep learning High power lasers Beam pointing Beam pointing errors Coherent beam combinations Coherent beam combining Combining systems Deep learning Far-field Learning approach Multi-beam pointing Multibeams
URL	查看原文
收录类别	EI ; SCI
语种	英语
资助项目	Shanghai Science and Technology Innovation Action Plan Project[19142202500] ; National Natural Science Foundation of China (NSFC)[11974367] ; Program of Shanghai Academic/Technology Research Leader[20SR014501]
WOS研究方向	Optics
WOS类目	Optics
WOS记录号	WOS:001082650700002
出版者	SPIE
EI入藏号	20233814773336
EI主题词	Data acquisition
EI分类号	461.4 Ergonomics and Human Factors Engineering ; 723.2 Data Processing and Image Processing ; 744.1 Lasers, General
原始文献类型	Journal article (JA)
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/335585
专题	物质科学与技术学院物质科学与技术学院_特聘教授组_梁晓燕组物质科学与技术学院_博士生
通讯作者	Peng, Chun
作者单位	1.Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing, Peoples R China 2.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, State Key Lab High Field Laser Phys, Shanghai, Peoples R China 4.Zhangjiang Lab, Shanghai, 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. Deep learning assisted far-field multi-beam pointing measurement[J]. OPTICAL ENGINEERING,2023,62(8).
APA	Li, Xunzheng,Peng, Chun,&Liang, Xiaoyan.(2023).Deep learning assisted far-field multi-beam pointing measurement.OPTICAL ENGINEERING,62(8).
MLA	Li, Xunzheng,et al."Deep learning assisted far-field multi-beam pointing measurement".OPTICAL ENGINEERING 62.8(2023).