发表机构
Institute of Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile（智利天主教大学数学与计算工程研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文概述了四类多共轭自适应光学重构器，分析了其优缺点，为相关研究提供了系统性梳理。
AI 中文摘要
多共轭自适应光学（MCAO）系统旨在对宽视场观测范围内的大气湍流进行均匀校正。与传统自适应光学（AO）相比，这需要对湍流扰动进行层析成像重构，即重构整个大气体积，并控制多个与不同高度光学共轭的变形镜。在过去二十年中，AO领域文献中提出了多种层析成像重构器，部分已在现有MCAO系统上实现了在轨应用。本文概述了MCAO重构器，考虑了四类重构器：i）基于相互作用矩阵的重构器；ii）最小方差静态重构器；iii）三步重构器；iv）基于卡尔曼滤波（Kalman）的重构器。我们讨论了它们各自的优缺点。
英文摘要
Multi-Conjugate Adaptive Optics (MCAO) systems aim at correcting for the atmospheric turbulence uniformly over wide-field observations. Compared to classical AO, this requires a tomographic reconstruction of the turbulence perturbations, that is to say a reconstruction of the atmosphere in its volume, and the control of several deformable mirrors optically conjugated to various altitudes. During the last two decades, many tomographic reconstructors have been proposed in the AO literature and some have been implemented on sky on existing MCAO systems. This paper presents an overview of MCAO reconstructors. Four categories of reconstructors are considered: i) the reconstructors based on interaction matrix; ii) the minimum-variance static reconstructors; iii) the 3-step recontructors and iv) the Kalman-based reconstructors. We discuss their relative advantages and drawbacks.
Journal refC. Béchet "Overview of multi-conjugate adaptive optics reconstructors", Proc. SPIE 10703, Adaptive Optics Systems VI, 107031B (2018)
