A method of measuring wavefront aberration with CNN
文献类型：会议论文
| 作者 | Xu, Yangjie1,2,3; Guo, Hongyang1,2,3; Wang, Qiang1,2,3; He, Dong1,2,3; Huang, Yongmei1,2,3 |
| 出版日期 | 2019 |
| 会议日期 | July 7, 2019 - July 9, 2019 |
| 会议地点 | Beijing, China |
| 关键词 | Free space optical communication Phase retrieval Convolutional neural network |
| 卷号 | 11342 |
| DOI | 10.1117/12.2541544 |
| 页码 | 1134204 |
| 英文摘要 | Wavefront aberration, which caused by atmospheric turbulence, needs to be measured in the free space optical communication. The existing sensors of wavefront aberration measurement are mainly divided into two classes, wavefront sensors and image-based sensors. Wavefront sensors, such as Hartmann sensor and shearing interferometry, measure wavefront slope to calculate wavefront aberration. However, wavefront sensors always need most of the laser energy, which means it is hard to use wavefront sensors in free space optical communication in the daytime. Image-based sensors usually requires iteration, which means poor real-time and locally optimal solution. No existing method can measure wavefront aberrations in real time in free space optical communication in the daytime. In this article, a new method of measuring wavefront aberration with CNN is proposed, which can be used in free space optical communication in the daytime and have good real-time performance. We made some modifications in VGG to make it can be used to fitting the Zernike coefficients. The input to the network was the PSF of focal plane and defocus plane and the output was the initial estimate of the Zernike coefficients. 22000 pairs of images were collected in the experiment, which produced by liquid crystal and the wavefront was built by 64 Zernike coefficients when atmospheric coherent length(r0) is 5cm. 20000 pairs of images were used as training sets and the other were used as testing sets. The root-mean-square(RMS) wavefront errors of VGG is on average within 0.0487 waves and the time it needs is 11-12ms. We use RMS wavefront error less than 0.1 waves as the correct standard and the correct rate is 98.75%, while other RMS wavefront errors were properly close to 0.1 waves. © 2019 SPIE. |
| 会议录 | Proceedings of SPIE 11342 - AOPC 2019: AI in Optics and Photonics
 |
| 会议录出版者 | SPIE |
| 文献子类 | 会议论文 |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| WOS研究方向 | Computer Science, Artificial Intelligence ; Optics |
| WOS记录号 | WOS:000525823200003 |
| WOS关键词 | NEURAL-NETWORK ; ADAPTIVE OPTICS |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9641]  |
| 专题 | 光电技术研究所_光电工程总体研究室（一室） |
| 通讯作者 | Huang, Yongmei |
| 作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, No.1 Guangdian Road, Chengdu; 610209, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China 3.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu; 610209, China; |
| 推荐引用方式 GB/T 7714 | Xu, Yangjie,Guo, Hongyang,Wang, Qiang,et al. A method of measuring wavefront aberration with CNN[C]. 见:. Beijing, China. July 7, 2019 - July 9, 2019. |
入库方式： OAI收割
来源：光电技术研究所
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