2007
DOI: 10.1002/sat.883
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Development and validation of time‐series synthesizers of rain attenuation for Ka‐band and Q/V‐band satellite communication systems

Abstract: SUMMARYThe aim of this paper is to present recent developments in terms of propagation time-series synthesizers, carried out in the framework of the ESA study 16865/03/NL/EC 'Development of propagation models for telecommunication satellite systems' (ONERA Final Report RF 4/07757/DEMR, 2004). The paper is composed of three parts: a review of the initial requirements related to propagation time series for system performance simulation, a description of a collection of rain attenuation time-series synthesizers a… Show more

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Cited by 35 publications
(20 citation statements)
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“…This allows each SS to use extra resources only when needed. Therefore, in the simulations that follow, the stochastic-dynamic model first proposed by Maseng and Bakken [32] is adopted to generate lognormal rain attenuation time series as in [33]. The synthesis procedure of time series is based on the fact that rain attenuation is well approximated by a first-order stochastic differential equation [32] and is currently devised into a draft new recommendation within the ITU-R.…”
Section: Dynamic Code Assignmentmentioning
confidence: 99%
“…This allows each SS to use extra resources only when needed. Therefore, in the simulations that follow, the stochastic-dynamic model first proposed by Maseng and Bakken [32] is adopted to generate lognormal rain attenuation time series as in [33]. The synthesis procedure of time series is based on the fact that rain attenuation is well approximated by a first-order stochastic differential equation [32] and is currently devised into a draft new recommendation within the ITU-R.…”
Section: Dynamic Code Assignmentmentioning
confidence: 99%
“…Since rain attenuation is a time varying process, in order to design a communication system robust to rain attenuation, it is necessary to model the dynamic behaviour of rain. Several time series models to synthesize rain attenuation samples with temporal properties have been proposed [17]. The stochastic model of Maseng−Bakken [18], which was adopted as a new Recommendation by the Study Group 3 of the ITU-R in 2009 [19], has been the most popular one.…”
Section: Satellite Feeder Link Channel Modelmentioning
confidence: 99%
“…Nevertheless, it must be kept in mind that this uniform ACM scheme over the whole area is also a consequence of a simplistic assumption concerning the channel propagation modelling, in which no spatial variability is taken into account. Only a temporal variability is modeled using the Carrié's enhancement of Lacoste's CNES/ONERA rain fading time series stochastic generator based on Maseng-Bakken model [31,[34][35][36][37].…”
Section: Eai Endorsed Transactions On Mobile Communications and Applimentioning
confidence: 99%