A channel simulation method and device based on generative confrontation network

Abstract

An embodiment of the present invention provides a channel simulation method and device based on a generative adversarial network. By inputting specified types of noise data into a pre-trained generative adversarial network model, the first phase difference coefficient is obtained, wherein the generative adversarial network model Obtained based on a plurality of noise data with a specified type and the second phase difference coefficient training; according to the first phase difference coefficient and the preset corresponding relationship between the first phase difference coefficient and the phase screen, determine the phase screen corresponding to the first phase difference coefficient ; According to the phase screen, determine the atmospheric turbulence simulation results. The distribution of the first phase difference coefficient obtained through the generative confrontation network model is close to the distribution of the second phase difference coefficient, so that the gap between the obtained phase screen corresponding to the first phase difference coefficient and the actual beam phase value becomes smaller, so that Improved the accuracy of atmospheric turbulence simulations, which helps reduce the effect of atmospheric turbulence on beam delivery quality.

Description

technical field [0001] The invention relates to the technical field of adaptive optics, in particular to a channel simulation method and device based on a generative confrontation network. Background technique [0002] When the beam passes through the atmosphere, the change of the refractive index caused by the atmospheric turbulence will cause the wavefront phase distortion of the beam, and such wavefront phase distortion will reduce the transmission quality of the beam. The adaptive optics system can compensate the wavefront phase distortion caused by atmospheric turbulence, and simulating atmospheric turbulence is an important part of designing and debugging the adaptive optics system. Therefore, the influence of atmospheric turbulence on beam transmission quality can be reduced to a certain extent by simulating atmospheric turbulence. [0003] Since the influence of atmospheric turbulence on beam transmission quality is mainly reflected in the phase, the simulation proc...

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Problems solved by technology

[0004] However, due to the ideal assumptions of the above physical model, there are still some gaps between the phase screen obtained by the above method and the phase value of the actual beam, resulting in low accuracy of the phase screen, which cannot reduce the effect of atmospheric turbulence on beam transmission. The role of quality impact

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