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基于随机并行梯度下降算法的自适应光学系统带宽 被引量:5

Bandwidth of Adaptive Optics System Based on Stochastic Parallel Gradient Descent Algorithm
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摘要 对基于随机并行梯度下降(SPGD)算法的自适应光学(AO)系统带宽进行了理论研究和实验分析。首先通过分析算法的随机扰动特性,研究了算法收敛速度与波前校正器单元数之间的关系。在此基础上,通过与基于哈特曼-夏克(H-S)波前传感器的传统自适应光学系统相对比,对基于SPGD算法的自适应光学系统带宽进行了理论分析,并通过动态波前畸变校正实验进行了实验验证,实验结果与带宽理论分析基本一致。研究结果为设计和合理应用基于SPGD算法的自适应光学系统提供了依据。 Bandwidth of adaptive optics (AO) system based on stochastic parallel gradient descent (SPGD) algorithm is analyzed theoretically and experimentally. The relation between convergence speed and control channel number of AO system based on SPGD algorithm is researched. Then the bandwidth of AO system based on SPGD is analyzed theoretically by comparson with the traditional AO system with the Hartmann-Shack (H-S) wavefront sensor. A dynamical wavefront distortion correction experiment is performed, and the experimental results verify the theoretical analysis results well. This research can provide a basis for the design and use of AO system based on SPGD algorithm.
作者 陈波 李新阳
出处 《激光与光电子学进展》 CSCD 北大核心 2013年第3期69-74,共6页 Laser & Optoelectronics Progress
基金 河北省唐山市科技计划项目(12110236b)资助课题
关键词 自适应光学 随机并行梯度下降算法 带宽 收敛速度 闭环 adaptive optics stochastic parallel gradient descent (SPGD) algorithm bandwidth convergence speed closed loop
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