Coherent beam combination far-field measuring method based on amplitude modulation and deep learning
Coherent beam combination far-field measuring method based on amplitude modulation and deep learning
复制标题
基于调幅和深度学习的相干光束组合远场测量方法
DOI：
10.3788/col202018.041402
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发表时间：
2020-04
影响因子：
3.5
通讯作者：
Li Ruxin
中科院分区：
文献类型：
--
作者：
Liu Renqi;Peng Chun;Liang Xiaoyan;Li Ruxin
采用深度卷积神经网络同时测量远场干涉条纹中相干束合并系统的波束指向和子波束相位差。为了防止由于波束指向的对称性引起的测量误差，对测量路径中的子波束的幅值进行了调制。该方法能够在双光束相干组合系统中测量波束指向和相位差，RMS精度分别约为0.2 μ rad和λ /250。
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 mu rad and lambda/250, respectively, in a two-beam coherent beam combining system.