Real-time wavefront correction using diffractive optical networks

被引:16
作者
Pan, Xiushan [1 ,2 ,3 ]
Zuo, Heng [1 ,2 ]
Bai, Hua [1 ,2 ]
Wu, Zhixu [4 ]
Cui, Xiangqun [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Nanjing Inst Astron Opt & Technol, Natl Astron Observ, Nanjing 210042, Peoples R China
[2] Nanjing Inst Astron Opt & Technol, CAS Key Lab Astron Opt & Technol, Nanjing 210042, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Nanchang Univ, Inst Space Sci & Technol, Nanchang 330031, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
ADAPTIVE OPTICS; SYSTEM;
D O I
10.1364/OE.478492
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Real-time wavefront correction is a challenging problem to present for conventional adaptive optics systems. Here, we present an all-optical system to realize real-time wavefront correction. Using deep learning, the system, which contains only multiple transmissive diffractive layers, is trained to realize high-quality imaging for unknown, random, distorted wavefronts. Once physically fabricated, this passive optical system is physically positioned between the imaging lens and the image plane to all-optically correct unknown, new wavefronts whose wavefront errors are within the training range. Simulated experiments showed that the system designed for the on-axis field of view increases the average imaging Strehl Ratio from 0.32 to 0.94, and the other system intended for multiple fields of view increases the resolvable probability of binary stars from 30.5% to 69.5%. Results suggested that DAOS performed well when performing wavefront correction at the speed of light. The solution of real-time wavefront correction can be applied to other wavelengths and has great application potential in astronomical observation, laser communication, and other fields.
引用
收藏
页码:1067 / 1078
页数:12
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