采用深度学习校正畸变涡旋光束的方法综述(特邀)

Jiaqi Wang, Shiyao Fu*, Lang Li, Yingchi Guo, Chen Li, Chunqing Gao

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

Vortex beam is a kind of novel structured beam with helical wavefront and carries orbital angular momentum (OAM). Such structured field can find applications in many domains as large-capacity data transmission, remote detection, etc. The wavefront aberration occurs when the vortex beam propagates in a non-homogeneous medium as atmosphere turbulence, resulting in the OAM changing and go against practical applications. Therefore, it is necessary to compensate distorted vortex beams through adaptive optics. The recent advances on adaptive correction of distorted vortex beams was mainly reviewed. The current mature correction schemes were firstly introduced in brief, including wavefront sensing along with probe Gaussian beams, array detection along with phase retrieval algorithms, and so on. Then the deep-learning-based approaches were highlighted, as Zernike polynomial coefficients inversion, turbulence phase screen inversion, etc. The advantages and limitations of employing deep learning for distorted vortex beam compensation were also discussed. Finally, development trends of distortion compensation of vortex beams were prospected.

投稿的翻译标题Advances in the compensation of distorted vortex beams through deep learning (invited)
源语言繁体中文
文章编号20220221
期刊Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
51
7
DOI
出版状态已出版 - 7月 2022

关键词

  • adaptive optics
  • atmospheric turbulence
  • deep learning
  • vortex beam
  • wavefront correction

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引用此

Wang, J., Fu, S., Li, L., Guo, Y., Li, C., & Gao, C. (2022). 采用深度学习校正畸变涡旋光束的方法综述(特邀). Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 51(7), 文章 20220221. https://doi.org/10.3788/IRLA20220221