IOE OpenIR  > 自适应光学技术研究室(八室)
Department自适应光学技术研究室(八室)
Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks
Li, Ziqiang1,2,3; Li, Xinyang1,2
Source PublicationOPTICS EXPRESS
Volume26Issue:24Pages:31675-31692
2018-11-26
Language英语
ISSN1094-4087
DOI10.1364/OE.26.031675
Indexed BySCI ; Ei
WOS IDWOS:000451213200055
EI Accession Number20184806143360
SubtypeJ
AbstractThis paper proposes a method used to calculate centroid for Shack-Hartmann wavefront sensor (SHWFS) in adaptive optics (AO) systems that suffer from strong environmental light and noise pollutions. In these extreme situations, traditional centroid calculation methods are invalid. The proposed method is based on the artificial neural networks that are designed for SHWFS, which is named SHWFS-Neural Network (SHNN). By transforming spot detection problem into a classification problem, SHNNs first find out the spot center, and then calculate centroid. In extreme low signal-noise ratio (SNR) situations with peak SNR ( SAIR(p) ) of 3, False Rate of SHNN-50 (SHNN with 50 hidden layer neurons) is 6%, and that of SHNN-900 (SHNN with 900 hidden layer neurons) is 0%, while traditional methods' best result is 26 percent. With the increase of environmental light interference's power, the False Rate of SHNN-900 remains around 0%, while traditional methods' performance decreases dramatically. In addition, experiment results of the wavefront reconstruction are presented. The proposed SHNNs achieve significantly improved performance, compared with the traditional method, the Root Mean Square (RMS) of residual decreases from 0.5349 um to 0.0383 um. This method can improve SHWFS's robustness. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
KeywordAdaptive optics Light Noise pollution Signal to noise ratio Wavefronts
WOS KeywordSLOPE MEASUREMENTS ; ADAPTIVE OPTICS ; PREDICTION ; ALGORITHM
EI KeywordsAdaptive optics ; Light ; Noise pollution ; Signal to noise ratio ; Wavefronts
EI Classification Number716.1 Information Theory and Signal Processing ; 741.1 Light/Optics ; 751.4 Acoustic Noise
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9347
Collection自适应光学技术研究室(八室)
Affiliation1.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China;
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China;
3.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Li, Ziqiang,Li, Xinyang. Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks[J]. OPTICS EXPRESS,2018,26(24):31675-31692.
APA Li, Ziqiang,&Li, Xinyang.(2018).Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks.OPTICS EXPRESS,26(24),31675-31692.
MLA Li, Ziqiang,et al."Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks".OPTICS EXPRESS 26.24(2018):31675-31692.
Files in This Item:
File Name/Size DocType Version Access License
2018-2114.pdf(5095KB)期刊论文出版稿开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Ziqiang]'s Articles
[Li, Xinyang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Ziqiang]'s Articles
[Li, Xinyang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Ziqiang]'s Articles
[Li, Xinyang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.