Coherent beam combination far-field measuring method based on amplitude modulation and deep learning

• 来源期刊: 中国光学快报（英文版）
• 年，卷（期）: 2020,（4）
• 页码范围: 21-25
• 页数: 5页
• 语种: 英文
• DOI: 10.3788/COL202018.041402

摘要

A deep convolutional neural network is employed to simultaneously measure the beam-pointing and phase difference of sub-beams from a single far-field interference fringe for coherent beam combining systems.The amplitudes of sub-beams in the measurement path are modulated in order to prevent measuring mistakes caused by the symmetry of beam-pointing.This method is able to measure beam-pointing and phase difference with an RMS accuracy of about 0.2 μrad and λ/250,respectively,in a two-beam coherent beam combining system.