A dynamic rain attenuation model for adaptive satellite communication systems

In this paper, we propose a new dynamic rain attenuation model using a Markov process. We derive statistical properties of the rain attenuation data measured in second time interval in Korea and define four states in the Markov process. We synthesize the rain attenuation data using 4-state Markov process, and compare statistical properties of the simulated data to those of the measured data. The investigated results in this paper show that the statistical properties of the synthesized data are well matched to the measured one.