JOURNAL ARTICLE
Multilevel Wavefront Correction Technique Based on Stochastic Parallel Gradient Descent Algorithm
王三宏 Wang Sanhong梁永辉 Liang Yonghui龙学军 Long Xuejun于起峰 Yu Qifeng谢文科 Xie Wenke
Year: 2009 Journal: Chinese Journal of Lasers Vol: 36 (5)Pages: 1091-1096 Publisher: Science Press
Abstract
为提高基于随机并行梯度下降(SPGD)箅法的高分辨率自适应光学(AO)系统的有效校正带宽,提出了分级SPGD波前校正的方法.在每一级SPGD波前校正中,将高分辨率波前校正器的控制单元按位置分成多组.每一组都施加相同的控制电压作为一个控制变量.采用的校正级越高,独立的控制变量的数目也越多.多级SPGD自适应光学系统按从低到商的等级顺序对畸变波前进行校正.以一个具有16×16控制单元的分立活塞式波前校正器为基础建立了基于3级SPGD波前校正的自适应光学系统的数值模型,并针对大气湍流引起的某一帧随机相位屏做了模拟校正实验.结果表明采用分级波前校正后收敛速度提高了23%,此方法确实提高了基于随机并行梯度下降算法的自适应光学系统的有效校正带宽.
Keywords:
Stochastic gradient descent Wavefront Gradient descent Algorithm Computer science Artificial intelligence Physics Artificial neural network Optics
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Topics
Optical Systems and Laser Technology
Physical Sciences → Engineering → Electrical and Electronic Engineering
Adaptive optics and wavefront sensing
Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics
Photoacoustic and Ultrasonic Imaging
Physical Sciences → Engineering → Biomedical Engineering
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