Rain rate and rain attenuation time series synthesizer based on Hidden Markov Model for K-band satellite in tropical area

The use of K-band frequency for satellite communication in tropical area needs special attention because the atmospheric condition affects the quality of received signal. The length of K-band wavelenght that has similar size with the rain drop makes the attenuation is very high. This paper aims to make a time series generator to model the rain rate and the propagation attenuation of K-band satellite in tropical area by using Hidden Markov Model (HMM). Data for modeling is obtained from measurement result on field. Synthesizer´s results show that rain distribution has similarity with the ITU R P.837 recommendation and the measurement data. The calculation of the most probable state path for a sequence between measured and synthesized data shows the similarity about 97.79%.