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题名:
Adaptive optics correction experiment based on stochastic parallel gradient descent algorithm
作者: Chen Bo, Yang Huizhena,b Li Xinyanga Jiang Wenhana
出版日期: 2008
会议名称: Proc.of SPIE,
学科分类: 自适应光学
中文摘要: The stochastic parallel gradient descent (SPGD) algorithm is a promising control algorithm for adaptive optics (AO), which is independent of wave-front sensor and is used to correct the wavefront distortion by optimizing the system performance metric directly. In this paper an adaptive optics experiment system with 32 control channels is set up and the static phase-distortion correction experiment is carried out to research the efficiency and performance of SPGD algorithm. The quadratic sum of intensity and the mean radius are used as the system performance metric respectively in the experiment. The experiments results demonstrate that the adaptive optics using SPGD algorithm can correct the static phase-distortion successfully. The mean radius is more sensitive to the small perturbation voltage than quadratic sum of intensity. When the mean radius is used as the system performance metric at the beginning of the correction process, and then the encircled energy is used in succession, both the convergence rate and the stability are improved.
收录类别: 其他
语种: 中文
卷号: 71303Y
文章类型: 会议论文
页码: 71303Y
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/1848
Appears in Collections:自适应光学技术研究室(八室)_会议论文

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Chen Bo, Yang Huizhena,b Li Xinyanga Jiang Wenhana. Adaptive optics correction experiment based on stochastic parallel gradient descent algorithm[C]. 见:Proc.of SPIE,.
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文件名: 2008-041.pdf
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