Chinese Journal of Lasers, Volume. 47, Issue 4, 405001(2020)
Self-Learning Wavefront Control Model Based on Far-Field Index Gradient
Fig. 4. Adaptive optical hardware platform and effective subaperture spots of H-S sensor. (a) Hardware platform; (b) effective subaperture spots
Fig. 5. Effective subaperture spots of H-S sensor, iterative process of SR mean and SR values after system convergence. (a) Effective subaperture spots; (b) SR mean; (c) SR values after system convergence
Fig. 6. Twenty subapertures of H-S sensor under missing light condition, iterative process of SR and SR values after system convergence. (a) Subaperture; (b) iterative process of SR; (c) SR values after system convergence
Fig. 8. Forty subapertures of H-S sensor under missing light condition, iterative process of SR and SR values after system convergence. (a) Subaperture; (b) iterative process of SR; (c) SR values after system convergence
Fig. 9. Correction performance of three methods underdifferent centroid detection conditions
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Xu Zhenxing, Yang Ping, Cheng Tao, Xu Bing, Li Heping. Self-Learning Wavefront Control Model Based on Far-Field Index Gradient[J]. Chinese Journal of Lasers, 2020, 47(4): 405001
Category: biomedical photonics and laser medicine
Received: Oct. 16, 2019
Accepted: --
Published Online: Apr. 8, 2020
The Author Email: Ping Yang (pingyang2516@163.com)