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Data · dataset · 2022

Far-field phasing method based on deep learning for tiled-aperture coherent beam combination

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In this work, a phase measurement method based on deep learning is proposed, which uses the deep convolutional neural network algorithm to measure the phase error of tiled-aperture coherent beam combination system in the far field.

Description

Fig. 1.tiff describes the simulated two-beam far-field interference pattern and the corresponding axial intensity distribution with different phase errors. Fig.2.tiff describes the comparison of simulation results.

Fig.3.tiff describes the four-beam far-field interference pattern and the application of amplitude modulation. Fig.4.tiff describes the results of four beam simulation. Fig.5.tiff describes the experimental setup and DCNN training process.

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Fig.6.tiff describes experimental data and experimental results.

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ScienceDB10.57760/sciencedb.0683212 d agoJSON v1
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