DocumentCode :
1557410
Title :
Multidimensional Rain Attenuation Stochastic Dynamic Modeling: Application to Earth–Space Diversity Systems
Author :
Karagiannis, Georgios A. ; Panagopoulos, Athanasios D. ; Kanellopoulos, John D.
Author_Institution :
School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
Volume :
60
Issue :
11
fYear :
2012
Firstpage :
5400
Lastpage :
5411
Abstract :
A stochastic dynamic model for the induced rain attenuation on multiple radio links is presented in this paper. The model is considered as a generalization of the well-known and well-accepted Maseng–Bakken model in n -dimensions. It incorporates the spatial and time behavior of the rain attenuation phenomena and provides an analytical expression for the transition probability distribution. It consists of a system of stochastic differential equations (SDEs), which, except for the solid mathematical formulation of the correlated rain attenuation stochastic processes, constitutes the general framework for the calculation of other statistical quantities useful for the radio system designers. The long-term statistics and the dynamic properties of rain attenuation are used for the parameterization of the model, without the constraint of any built-in assumptions of the rain field. Finally, the proposed model is used for the generation of correlated rain attenuation time series on multiple satellite communication slant paths and especially to diversity schemes, including site and orbital (angle) diversity. The derived results from the model are tested with respect to experimental long-term statistics for various geometries with very encouraging results. The limitations and the ranges of applicability of the model for Earth–space diversity systems are reported, and the sensitivity of the model on the crucial parameters is discussed.
Keywords :
Attenuation; Covariance matrix; Mathematical model; Numerical models; Rain; Stochastic processes; Vectors; Rain attenuation; satellite link; spatial structure; stochastic differential equations (SDEs);
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2012.2208610
Filename :
6239566
Link To Document :
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