Prediction of Joint Rain Attenuation Statistics Induced on Earth–Satellite Multiple Site Diversity Systems Using Gaussian Copula
| Autor: | Charilaos I. Kourogiorgas, Gorazd Kandus, Arsim Kelmendi, Andrej Hrovat, Andrej Vilhar, Athanasios D. Panagopoulos |
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| Rok vydání: | 2017 |
| Předmět: |
Earth satellite
Computer science Attenuation Site diversity 020206 networking & telecommunications 04 agricultural and veterinary sciences 02 engineering and technology Data modeling Clayton copula Statistics 040102 fisheries 0202 electrical engineering electronic engineering information engineering 0401 agriculture forestry and fisheries Multiple site Electrical and Electronic Engineering Joint (geology) Diversity (business) |
| Zdroj: | IEEE Antennas and Wireless Propagation Letters. 16:95-98 |
| ISSN: | 1548-5757 1536-1225 |
| Popis: | A novel prediction model of the joint exceedance probability of rain attenuation in Earth–satellite site diversity systems based on the Gaussian copula is presented. The proposed model is based on a number of experimental data of two-site diversity systems with different configurations. The proposed model outperforms the existing model for two-site diversity given in Recommendation ITU-R P.618-12 and the recently presented model based on the Clayton copula. The method is generalized to multiple-site diversity prediction. Results for a few existing three-site diversity experiments are evaluated. |
| Databáze: | OpenAIRE |
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