Simulation and analysis of stochastic parallel gradient descent control algorithm for adaptive optics system

被引：0
|
作者：
Yang, Huizhen [1 ,2 ]
Li, Xinyang [1 ]
Jiang, Wenhan [1 ]
机构：
[1] Institute of Optoelectronics, Chinese Academy of Sciences, Chengdu 610209, China
[2] Graduate University, Chinese Academy of Sciences, Beijing 100039, China
来源：
Guangxue Xuebao/Acta Optica Sinica | 2007年 / 27卷 / 08期
关键词：
Aberrations - Adaptive optics - Algorithms - Computer simulation - Mirrors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The stochastic parallel gradient descent (SPGD) algorithm can optimize the system performance directly, while being independent of wave-front sensor. Based on SPGD algorithm, an adaptive optics system model with a 32-element deformable mirror was simulated. Convergence of SPGD algorithm was verified through analyzing correction capabilities for static wave-front aberrations. The relationship of algorithm gain coefficient, stochastic perturbation amplitude and convergence rate were discussed. Convergence rate can be improved by adaptive adjustment of algorithm gain coefficient.
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收藏
页码：1355 / 1360
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