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自适应光学系统的最优斜率复原算法
引用本文:李新阳,姜文汉.自适应光学系统的最优斜率复原算法[J].光学学报,2003,23(6):56-760.
作者姓名:李新阳  姜文汉
作者单位:中国科学院光电技术研究所自适应光学研究室,成都,610209
基金项目:国家高技术研究发展计划专项经费资助课题。
摘    要:分析了自适应光学系统的波前斜率校正效果,综合大气湍流扰动和测量噪声的统计特性,在最小二乘复原算法的基础上推导得出一种形式简洁、易于实际操作的最优斜率复原算法。在大气湍流波前扰动条件下,对这种最优斜率复原算法的补偿效果和工作稳定性进行了计算研究。

关 键 词:自适应光学系统  最优斜率复原算法  最小二乘复原算法  测量噪声  大气湍流波前扰动  波前复原
收稿时间:2002/3/20

Analysis of the Optimal-Gradient Reconstruction Algorithm Used in Adaptive Optical Systems
Li Xinyang,Jiang Wenhan.Analysis of the Optimal-Gradient Reconstruction Algorithm Used in Adaptive Optical Systems[J].Acta Optica Sinica,2003,23(6):56-760.
Authors:Li Xinyang  Jiang Wenhan
Abstract:In this paper, the compensation effects of Hartmann sub-aperture gradients in an adaptive optics (AO) system were analyzed. A kind of optimal-gradient reconstruction algorithm was deduced from normal least-square (LS) reconstruction algorithm by considering the statistical characteristics of disturbed wavefront and measurement noise. The optimal-gradient reconstruction algorithm is concise and effective in practice. The compensation effect and the stability were calculated in the condition of atmospheric turbulence.
Keywords:adaptive optics system  optimal-gradients reconstruction algorithm  least-square reconstruction algorithm  atmospheric turbulence  measurement noise
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