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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 33, issue 3
Ann. Geophys., 33, 321–331, 2015
https://doi.org/10.5194/angeo-33-321-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 33, 321–331, 2015
https://doi.org/10.5194/angeo-33-321-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Regular paper 17 Mar 2015

Regular paper | 17 Mar 2015

Modeling of rain attenuation and site diversity predictions for tropical regions

F. A. Semire1,2, R. Mohd-Mokhtar1, W. Ismail1, N. Mohamad1, and J. S. Mandeep3 F. A. Semire et al.
  • 1School of Electrical and Electronic Eng., Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Malaysia
  • 2Dept. of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, P.M.B 4000, Ogbomoso, Nigeria
  • 3Dept. of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

Abstract. Presented in this paper is an empirical model for long-term rain attenuation prediction and statistical prediction of site diversity gain on a slant path. Rain attenuation prediction on a slant path is derived using data collected from tropical regions, and the formula proposed is based on Gaussian distribution. The proposed rain attenuation model shows a considerable reduction in prediction error in terms of standard deviation and root-mean-square (rms) error. The site diversity prediction model is derived as a function of site separation distance, frequency of operation, elevation angle and baseline orientation angle. The novelty of the model is the inclusion of low elevation angles and a high link frequency up to 70 GHz in the model derivation. The results of comparison with Hodge, Panagopoulos and Nagaraja empirical predictions show that the proposed model provides a better performance for site separation distance and elevation angle. The overall performance of the proposed site diversity model is good, and the percentage error is within the allowable error limit approved by International Telecommunication Union – Region (ITU-R).

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Presented in this paper is an empirical model for long-term rain attenuation prediction and statistical prediction of site diversity gain on slant path. The novelty of the model is the inclusion of low elevation angles and high link frequency up to 70GHz in the model derivation. The comparison results with Hodge, Panagopoulos and Nagaraja empirical predictions show that the proposed model provides better performance for site separation distance and elevation angle. The model performance is good.
Presented in this paper is an empirical model for long-term rain attenuation prediction and...
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