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强大气湍流下扩展信标波前重建方法研究

毛浩迪 李远洋 郭劲

毛浩迪, 李远洋, 郭劲. 强大气湍流下扩展信标波前重建方法研究[J]. 中国光学(中英文). doi: 10.37188/CO.2023-0213
引用本文: 毛浩迪, 李远洋, 郭劲. 强大气湍流下扩展信标波前重建方法研究[J]. 中国光学(中英文). doi: 10.37188/CO.2023-0213
MAO Hao-di, LI Yuan-yang, GUO Jin. Wavefront reconstruction for extended targets under strong atmospheric turbulence[J]. Chinese Optics. doi: 10.37188/CO.2023-0213
Citation: MAO Hao-di, LI Yuan-yang, GUO Jin. Wavefront reconstruction for extended targets under strong atmospheric turbulence[J]. Chinese Optics. doi: 10.37188/CO.2023-0213

强大气湍流下扩展信标波前重建方法研究

doi: 10.37188/CO.2023-0213
基金项目: 国家重点实验室自主基础研究课题(No. SKLLIM2104)
详细信息
    作者简介:

    毛浩迪(1999—),男,山东潍坊人,博士研究生,2021年于长春理工大学获得获得学士学位,现就读于中国科学院大学长春光学精密机械与物理研究所,攻读光学工程学术博士学位,主要从事光束控制方面的研究。E-mail:329952674@qq.com

    郭 劲(1964—),男,吉林长春人,研究员,博士生导师,2007年于中国科学院长春光学精密机械与物理研究所获得博士学位,主要从事光电观测设备研制、激光与物质相互作用、激光应用技术等方面的研究。E-mail:guojin@ciomp.ac.cn

  • 中图分类号: TP391.41

Wavefront reconstruction for extended targets under strong atmospheric turbulence

Funds: Supported by
More Information
  • 摘要:

    为解决强湍流环境下自适应光学系统无理想点信标波前探测的难题,本文提出了利用光场传感器(Plenoptic sensor)对扩展信标的光场信息探测的方法,对扩展信标的光场成像原理、波前位相重建算法、误差影响规律进行研究,利用等效法将扩展信标看做数个离散点的集合,简化扩展信标在光场传感器上的成像过程,然后将光场图像按照特定的方式重新排列组合,通过图像互相关法和Zernike模式法实现0°视场的波前重建。针对不同输入像差系数、单列微透镜单元数和噪声等误差影响因素进行仿真研究,结果表明:当输入像差在6.5λ以内时,波前重建精度约为0.08λ,对于图像分辨率为1080×1080、像元尺寸5.5 μm的图像探测器,单列微透镜单元数在40到50之间时波前重建精度最高,系统噪声则几乎不影响精度。最后,搭建扩展信标波前探测系统,通过探测扩展信标对0°视场的四种像差波前进行重建,实验系统的波前重建精度约0.04λ,基本满足自适应光学系统的波前检测要求。

     

  • 图 1  光场传感器结构图

    Figure 1.  Structure diagram of light field sensor

    图 2  点目标光场成像原理图

    Figure 2.  Schematic diagram of light field imaging for point targets

    图 3  物方平面与多个物方子区域的等效示意图

    Figure 3.  Equivalent diagram of object square plane and multiple object square subregions

    图 4  扩展目标光场成像原理图

    Figure 4.  Extended target light field imaging schematic

    图 5  扩展目标光场图像重组示意图

    Figure 5.  Extended target light field image recombination diagram

    图 6  分辨率板光场成像仿真

    Figure 6.  Light field imaging simulation of resolution plate

    图 7  像散波前重建仿真

    Figure 7.  Wavefront reconstruction simulation of astigmatism

    图 8  离焦波前重建仿真

    Figure 8.  Wavefront reconstruction simulation of defocusing

    图 9  慧差波前重建仿真

    Figure 9.  Wavefront reconstruction simulation of coma

    图 10  三瓣叶波前重建仿真

    Figure 10.  Wavefront reconstruction simulation of three-lobe

    图 11  波前重建误差随像差系数的变化曲线

    Figure 11.  Curve of wavefront reconstruction error with aberration coefficient

    图 12  波前重建误差随微透镜单元数量的变化曲线

    Figure 12.  Curve of wavefront reconstruction error with the number of microlens elements

    图 13  不同噪声的光场图像

    Figure 13.  Light field images with different noises

    图 14  实验系统结构图

    Figure 14.  Experimental system structure diagram

    图 15  实验系统

    Figure 15.  Experimental system

    图 16  分辨率板及探测区域

    Figure 16.  Resolution board and detection area

    图 17  目标光场图像

    Figure 17.  Aberration-free light field image

    图 18  像差波前重建结果

    Figure 18.  Reconstruction results of aberration wavefront

    表  1  系统结构参数

    Table  1.   System structure parameters

    参数值(mm)
    系统通光口径8.503
    物镜焦距1000
    微透镜单元口径0.1
    微透镜焦距11.76
    探测器宽度6
    像元尺寸0.0055
    下载: 导出CSV

    表  2  各像差对应重建波前的RMS误差

    Table  2.   RMS error of the reconstructed wavefront for each aberration

    像差像散离焦慧差三瓣叶
    重建波前残差RMS(λ)0.08930.11020.05760.0758
    下载: 导出CSV

    表  3  噪声下的重建波前RMS误差

    Table  3.   RMS error of the reconstructed wavefront for each aberration

    像差像散离焦慧差三瓣叶
    椒盐噪声重建波前残差RMS(λ)0.08500.12130.05870.0723
    高斯噪声重建波前残差RMS(λ)0.09320.11510.06060.0731
    下载: 导出CSV

    表  4  系统结构参数

    Table  4.   System structure parameter

    参数值(mm)
    系统通光口径12
    物镜焦距560
    微透镜单元口径0.3
    微透镜焦距14
    探测器宽度3
    像元尺寸0.0029
    下载: 导出CSV

    表  5  重建波前的RMS误差

    Table  5.   RMS error of reconstructed wavefront

    像差像散离焦慧差三瓣叶
    输入像差RMS(λ)0.24490.34640.10610.1060
    重建波前残差RMS(λ)0.04360.05320.03080.0306
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-11-28
  • 录用日期:  2024-03-18
  • 网络出版日期:  2024-04-11

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