Abstract
A model for predicting rain attenuation on earth-to-space was developed by using the measurement data obtained from tropical and equatorial region. The proposed rain attenuation model uses the complete rainfall rate cumulative distribution as input data. It was shown that significant improvements in terms of prediction error over existing attenuation model obtained.
Highlights
Rain attenuation modeling on satellite paths have been done by many researchers over the last three decades
Cumulative distribution empirical evidence [5] shows that the ITU-R model underestimates the measured rain attenuation cumulative distribution when applied to tropical regions, leading to a poor prediction
In this letter, a modified ITU-R model was developed using the complete rainfall rate cumulative distribution and the horizontal path length to calculate the cumulative distribution of rain attenuation for tropical and equatorial regions
Summary
Rain attenuation modeling on satellite paths have been done by many researchers over the last three decades. Several empirical and non-empirical rain attenuation prediction models that have been developed are based on the measurement data obtained from temperate regions. Most of these existing rain attenuation prediction models do not appear to perform well in high rainfall regions [1,2,3]. Cumulative distribution empirical evidence [5] shows that the ITU-R model underestimates the measured rain attenuation cumulative distribution when applied to tropical regions, leading to a poor prediction.
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