A method and device for predicting physical information of atmospheric turbulence for satellite-ground link laser communication
By combining hierarchical multi-scale differentiated harmonic compensation with the PINN model, atmospheric turbulence in satellite-to-ground laser communication is accurately simulated, solving the problem of inaccurate turbulence simulation in existing technologies, realizing real-time turbulence parameter prediction, and improving the performance and efficiency of the communication system.
CN122113758APending Publication Date: 2026-05-29SOUTHEAST UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2026-04-24
- Publication Date
- 2026-05-29
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Figure CN122113758A_ABST
Abstract
The application discloses a kind of atmospheric turbulence physical information prediction method and equipment for star-ground link laser communication, comprising: the atmospheric turbulence region of star-ground link is divided into several turbulence layers, and the phase screen and amplitude screen model of turbulence region is constructed;Atmospheric turbulence physical information is set to different values, based on phase screen model and amplitude screen model, complex domain simulation method is used to simulate corresponding atmospheric turbulence effect data, each set of atmospheric turbulence effect data is used as training sample, corresponding atmospheric turbulence physical information is used as label, to form a sample pair;PINN model is constructed, and a plurality of sample pairs are used for training, atmospheric turbulence effect data is collected in real time at the receiving end of star-ground laser communication system, and input into the PINN model trained, to predict real-time atmospheric turbulence physical information.The application can accurately characterize the dynamic characteristics of atmospheric turbulence of star-ground link, realize precision simulation, and can predict turbulence parameters in real time.
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