Statistical evaluation of measured rain attenuation in tropical climate and comparison with prediction models

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Abstract

Substantial modifications have been made to the expressions for calculating distance factor and extrapolation techniques in the latest ITU-R P.530-14. However, its performance has not been rigorously evaluated in the tropical and equatorial climates. In this article, the new ITU-R method and three prediction models are validated using measurement data from tropical Malaysian climate. The data were collected on six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz. When tested against measurements, the Da Silva Mello model yields a significant improvement for the prediction of rain attenuation distributions. The prediction errors observed in the ITU-R model suggest the need for more data campaign in the afore-mentioned climates.

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Yusuf, A. A., Falade, A., Olufeagba, B. J., Mohammed, O. O., & Rahman, T. A. (2016). Statistical evaluation of measured rain attenuation in tropical climate and comparison with prediction models. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 15(2), 123–134. https://doi.org/10.1590/2179-10742016v15i2624

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