The application relates to a cross-
modal generative
satellite-ground network semantic communication method with super-high compression rate, which comprises the following steps: S1, establishing a generative cross-
modal satellite-ground network semantic communication
system; S2, establishing a
satellite-ground network semantic communication
system model fusing
NOMA technology; S3, establishing a
dynamic switching algorithm; S4, establishing a double-state satellite-ground link
simulation model: considering the influence of the multipath, shadow and Doppler factors existing in satellite-ground communication, dividing the satellite-ground transmission link into two states of good and bad, modeling the channel characteristics by using Rician and Rayleigh distribution, and simulating the
Doppler frequency shift through Doppler
phase rotation, and completing satellite-ground channel
modeling and simulation. In the single-user scene, the original image information is efficiently compressed into a compact text
semantic representation through the cross-
modal semantic compression module, an end-to-end
generative model is adopted to guarantee high
semantic consistency and robust reconstruction, the data volume is greatly compressed, and low-
delay semantic transmission is achieved, so that the bandwidth burden of the satellite-ground network is effectively reduced.