Synchronous model-based approach for wavefront sensorless adaptive optics system
Lianghua, Wen1,2,3,4; Yang, Ping1,2; Kangjian, Yang1,2,3; Shanqiu, Chen1,2; Shuai, Wang1,2; Wenjing, Liu1,2; Xu, Bing1,2
刊名Optics Express
2017
卷号25期号:17页码:20584-20597
关键词Gradient methods - Stochastic systems - Wavefronts
ISSN号1094-4087
英文摘要In this paper, an aberration correction algorithm for wavefront sensorless adaptive optics system is presented, which is based on the approximately linear relation between the mean square of the aberration gradients and the second moment of far-field intensity distribution. To demonstrate algorithm’s performance, an experiment system of aberration corrections for Fresnel zone plates imaging is set up. The correction results show the excellent performance of this method in correction speed, and correction capability. Comparing with conventional stochastic parallel gradient descent (SPGD) algorithm, the correction speed with this method is improved about four times for the similar correction effect. © 2017 Optical Society of America.
语种英语
内容类型期刊论文
源URL[http://ir.ioe.ac.cn/handle/181551/8874]  
专题光电技术研究所_自适应光学技术研究室(八室)
作者单位1.Key laboratory of 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;
4.School of Physics and Electronic Engineering, Yibin University, Sichuan; 644000, China
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GB/T 7714
Lianghua, Wen,Yang, Ping,Kangjian, Yang,et al. Synchronous model-based approach for wavefront sensorless adaptive optics system[J]. Optics Express,2017,25(17):20584-20597.
APA Lianghua, Wen.,Yang, Ping.,Kangjian, Yang.,Shanqiu, Chen.,Shuai, Wang.,...&Xu, Bing.(2017).Synchronous model-based approach for wavefront sensorless adaptive optics system.Optics Express,25(17),20584-20597.
MLA Lianghua, Wen,et al."Synchronous model-based approach for wavefront sensorless adaptive optics system".Optics Express 25.17(2017):20584-20597.
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