Song H, Fraanje R, Schitter G, Kroese H, Vdovin G, Verhaegen M
Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands.
Opt Express. 2010 Nov 8;18(23):24070-84. doi: 10.1364/OE.18.024070.
In many scientific and medical applications, such as laser systems and microscopes, wavefront-sensor-less (WFSless) adaptive optics (AO) systems are used to improve the laser beam quality or the image resolution by correcting the wavefront aberration in the optical path. The lack of direct wavefront measurement in WFSless AO systems imposes a challenge to achieve efficient aberration correction. This paper presents an aberration correction approach for WFSlss AO systems based on the model of the WFSless AO system and a small number of intensity measurements, where the model is identified from the input-output data of the WFSless AO system by black-box identification. This approach is validated in an experimental setup with 20 static aberrations having Kolmogorov spatial distributions. By correcting N=9 Zernike modes (N is the number of aberration modes), an intensity improvement from 49% of the maximum value to 89% has been achieved in average based on N+5=14 intensity measurements. With the worst initial intensity, an improvement from 17% of the maximum value to 86% has been achieved based on N+4=13 intensity measurements.
在许多科学和医学应用中，如激光系统和显微镜，无波前传感器（WFSless）自适应光学（AO）系统用于通过校正光路中的波前像差来提高激光束质量或图像分辨率。WFSless AO系统中缺乏直接的波前测量对实现高效像差校正提出了挑战。本文基于WFSless AO系统模型和少量强度测量结果，提出了一种针对WFSless AO系统的像差校正方法，其中该模型通过黑箱识别从WFSless AO系统的输入输出数据中识别出来。该方法在具有20种具有科尔莫戈罗夫空间分布的静态像差的实验装置中得到了验证。通过校正N = 9个泽尼克模式（N是像差模式的数量），基于N + 5 = 14次强度测量，平均强度从最大值的49%提高到了89%。在初始强度最差的情况下，基于N + 4 = 13次强度测量，强度从最大值的17%提高到了86%。
