Abstract:A detailed analysis of the principle of satellite communication adaptive transmission system was conducted, and the adaptive rain attenuation compensation model was studied. Multiple sets of data were used to fit the rainfall attenuation relationship between the uplink and downlink of ground stations, and a formula for predicting the uplink rainfall attenuation value based on downlink rainfall attenuation was derived; In order to reduce the feedback delay of adaptive transmission systems, improve transmission efficiency and reliability, a signal transmission model based on unique word sequences was constructed, and an improved method based on maximum likelihood estimation was proposed to achieve fast and accurate signal-to-noise ratio measurement of received signals. Through simulation analysis, the improved signal-to-noise ratio measurement algorithm is not affected by signal phase errors and frequency errors. Compared with the original method, it significantly improves the accuracy of signal-to-noise ratio estimation and has important engineering application value for adaptive transmission of satellite communication systems.