Rain attenuation over earth space path from radar and propagation measurements at tropical location

2015 ◽  
Author(s):  
Bijay Kumar Guha ◽  
Rohit Chakraborty ◽  
Bidisha Nandy ◽  
Animesh Maitra
Keyword(s):  
Rain Attenuation ◽  
Earth Space ◽  
Tropical Location

Diversity gain for rain attenuation over Earth-space path at a tropical location

2016 ◽  
Vol 57 (3) ◽  
pp. 794-801 ◽  
Author(s):  
Arijit De ◽  
Arpita Adhikari ◽  
Animesh Maitra
Keyword(s):  
Rain Attenuation ◽  
Diversity Gain ◽  
Earth Space ◽  
Tropical Location

Modeling of joint rain attenuation in earth-space diversity systems using Gaussian copula

2016 ◽  
Author(s):  
Arsim Kelmendi ◽  
Charilaos I. Kourogiorgas ◽  
Andrej Hrovat ◽  
Athanasios D. Panagopoulos ◽  
Gorazd Kandus ◽  
...  
Keyword(s):  
Rain Attenuation ◽  
Gaussian Copula ◽  
Space Diversity ◽  
Earth Space ◽  
Diversity Systems

Analysis of Selected Earth-Space Rain Attenuation Models for a Tropical Station

2016 ◽  
Vol 3 (2) ◽  
pp. 383 ◽  
Author(s):  
A. I. O. Yussuff
Keyword(s):  
Prediction Models ◽  
Measurement Data ◽  
Daily Rainfall ◽  
Rain Attenuation ◽  
Propagation Path ◽  
Tropical Regions ◽  
Earth Space ◽  
Budget Analysis ◽  
Link Budget ◽  
Attenuation Models

The restrained use of millimeter bands is due to severe rain attenuation. Attenuation is caused when rain cells intersects radio wave’s propagation path; resulting in deep fades. The effect of rainfall is more severe in tropical regions characterized by heavy rainfall intensity and large raindrops; hence, rain attenuation analyses are essential to study rain fade characteristics for use in earth-space link budget analysis, for outage prediction resulting from rain attenuation. Tropical regions are particularly challenged with signal outage, necessitating the formulation and development of suitable prediction model(s) for the region. Therefore, extensive knowledge of the propagation phenomena mitigating system availability and signal quality in these bands are required. Daily rainfall data were collected from the Nigerian Meteorological Services for Lagos for spanning January to December 2010. Results showed that although, the ITU-R model out-performed the other prediction models under consideration, none of prediction models matched the measurement data.

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