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Performance Analysis of Rain Rate Models for Microwave Propagation Designs Over Tropical Climate

By Obiseye Oluwaniyi Obiyemi, Joseph Ojo, and Tunji Samuel Ibiyemi
Progress In Electromagnetics Research M, Vol. 39, 115-122, 2014


Rain attenuation is a major source of impairment to signal propagation at microwave and millimeter wave bands. The procedures for the estimation of rain attenuation value regard to microwave signals however rely mainly on 1-minute rain rate statistics, particularly those obtained locally from experimental measurement campaigns over a given location. In this paper, we present recent results on 1-minute rain rate statistics required for satellite and terrestrial link designs, as obtained from a 2-year measurement over Akure, Nigeria. The performance of the existing rain rate models: Rice-Holmberg (RH) model, the Kitami model, Moupfouma model and the global ITU rain rate model were tested based on four metrics namely: Prediction error, Root Mean Square Error (RMSE), Spread-Corrected Root Mean Square Error (SC-RMSE) and the Spearman's rank correlation. Result indicates that no single model completely outperforms all others. Interestingly, the RH model is particularly best behaved over the distribution, while the Moupfouma model performs suitably well. Others seem to vary largely from the measured rain rate distribution. Results for the rain rate exceeded for 0.01% of the time agrees with earlier estimates for the cumulative rain rate distribution derived from higher integration-time statistics over this tropical site.


Obiseye Oluwaniyi Obiyemi, Joseph Ojo, and Tunji Samuel Ibiyemi, "Performance Analysis of Rain Rate Models for Microwave Propagation Designs Over Tropical Climate," Progress In Electromagnetics Research M, Vol. 39, 115-122, 2014.


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