波前
波前传感器
自适应光学
光学
变形镜
计算机科学
补偿(心理学)
梯度下降
迭代法
点目标
迭代重建
物理
算法
计算机视觉
人工智能
人工神经网络
合成孔径雷达
心理学
精神分析
作者
Jae Jun Kim,Bautista Fernández,Brij Agrawal
摘要
An iterative wavefront reconstruction method using Shack-Hartmann wavefront sensor (SHWFS) measurements is presented in this paper. A new cost function for the wavefront reconstruction problem is derived and the solution is obtained iteratively using the gradient descent method. The proposed method aims to effectively handle the scintillated SHWFS measurements and to provide simpler and accurate ways to achieve branch-point-tolerant wavefront reconstruction suitable for adaptive optics compensation of strong turbulence. Simulated iterative wavefront reconstruction results show the effectiveness of the proposed method. A laboratory optical testbed is also presented to show the experimental implementation of the proposed method.
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