摘要
针对波前曲率传感器,研究了基于拉普拉斯算子本征函数的实时波前重构方法。首先以传感器的空间分辨率为依据,分析了探测器空间采样点数和本征函数数量的估计方法。在此基础上建立了分光式波前曲率传感实验装置,将波前重构结果与哈特曼波前传感器的测量结果进行了比较。实验结果表明,采样本征函数法重构待测波前时,可首先根据传感器的空间分辨率估计采样点数,然后根据采样点数和模式相关系数的关系估计模式数量,从而获得维数合适的波前重构矩阵。
The real-time wavefront reconstruction method based on laplacian eigenfunctions for wavefront curvature sensor is researched. Based on the spatial resolution of wavefront curvature sensor, the estimation method of the spatial sampling points and the amount of eigenfunctions modes are analyzed. The experimental wavefront curvature sensor is set up, and the results of wavefront reconstruction are compared with the measurement results of Hartmann wavefront sensor. The experimental results show that, for the real-time wavefront reconstruction method based on laplacian eigenfunctions, the number of samples should be estimated firstly based on the spatial resolution of the sensor, and then the number of eigenfunetions should be estimated based on the relationship between the sampling points and the eigenfunetions correlation coefficient, so that a suitable dimension wavefront reconstruction matrix is obtained.
出处
《激光杂志》
北大核心
2017年第1期12-15,共4页
Laser Journal
基金
河北省高等学校科学研究项目(QN2014042)
河北省自然科学基金(F2013209149)
关键词
波前曲率传感器
波前重构
实时
拉普拉斯算子本征函数
wavefront curvature sensor
wavefront reconstruction
real-time
eigenfunctions of laplacian
