The invention relates to a semi-deterministic sea-land
hybrid propagation channel
path loss prediction method, which performs classification
processing on obstacle terrains based on a propagation theory, introduces empirical propagation factors of sea-land
hybrid propagation into a model, and significantly improves the precision and applicability of
path loss prediction. According to the method, the difference between the sea surface and the land in propagation characteristics and the
coupling effect of the sea surface and the land are fully considered, and cooperative calculation of perpendicular incidence, reflection and
diffraction components in a propagation path is achieved through comprehensive modeling of multi-dimensional factors such as
topographic relief,
earth surface reflection coefficients, meteorological conditions and air-sea boundary layer structures. Meanwhile, a parameter calibration and correction
mechanism based on measured data is introduced, so that the model can adjust key propagation parameters according to different antenna erection heights so as to adapt to prediction requirements under different frequency bands, propagation distances and environmental conditions, and very high prediction precision and environmental generalization ability are embodied.