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Adaptive optics correction experiment based on stochastic parallel gradient descent algorithm
Chen Bo; Yang Huizhen; Li Xinyang; Jiang Wenhan
Volume7130
2009
Language英语
Indexed ByEi
Subtype会议论文
AbstractThe 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.; 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.
Conference NameProceedings of SPIE
Conference Date2009
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7716
Collection自适应光学技术研究室(八室)
Corresponding AuthorChen Bo
Affiliation中国科学院光电技术研究所
Recommended Citation
GB/T 7714
Chen Bo,Yang Huizhen,Li Xinyang,et al. Adaptive optics correction experiment based on stochastic parallel gradient descent algorithm[C],2009.
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