2012
DOI: 10.1590/s2179-10742012000100001
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Unified method for the prediction of rain attenuation in satellite and terrestrial links

Abstract: In this paper, a semi-empirical method for the prediction of rain attenuation in slant paths and terrestrial links is proposed. The method uses the same simplified model of equivalent rain cell that is the basis for the ITU-R rain attenuation prediction methods but, additionally, the concept of an effective rain rate is introduced. This allows the use of the full rainfall rate distribution for the prediction of the rain attenuation distribution and the unification of the slant path and terrestrial links predic… Show more

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Cited by 42 publications
(35 citation statements)
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“…As clarified in the last paragraph, rain characteristics in tropical regions may cause a real obstacle against the propagation of mm‐wave signals. Raindrops may interact with the propagated signal by imposing various physical effects such as scattering, reflection, absorption, depolarization, and rain temperature . Each raindrop will act as an obstacle facing the microwave signal, particularly, when raindrop size is comparable to the signal wavelength as depicted in Figure .…”
Section: Precipitation Impact On Mm‐wavementioning
confidence: 99%
“…As clarified in the last paragraph, rain characteristics in tropical regions may cause a real obstacle against the propagation of mm‐wave signals. Raindrops may interact with the propagated signal by imposing various physical effects such as scattering, reflection, absorption, depolarization, and rain temperature . Each raindrop will act as an obstacle facing the microwave signal, particularly, when raindrop size is comparable to the signal wavelength as depicted in Figure .…”
Section: Precipitation Impact On Mm‐wavementioning
confidence: 99%
“…According to the da Silva Mello model, equivalent rain cells can intercept the link at any position with equal probability. This method uses the full rainfall rate distribution as input for predicting the rain attenuation cumulative distribution and is given by [9].…”
Section: Da Silva Mellomentioning
confidence: 99%
“…For the purpose of this paper, four established attenuation models have been utilized for the prediction of rain attenuation in South Korea. These are the ITU-R P.530-16 method [7], da Silva Mello model [8,9], Moupfouma model [10], and Abdulrahman model [11]. The comparative study of terrestrial rain attenuation in the South Western geographical region of Nigeria has been performed through the application of those models.…”
Section: Introductionmentioning
confidence: 99%
“…The effect increases further with higher frequency bands, rainfall rates, longer path length, and larger raindrop sizes. This attenuation, caused by rain, reduces the reliability, systems availability, reception of signal‐to‐interference‐plus‐noise ratio (SINR), and overall performance of the communications link . As a result, rain attenuation is a real and concerning issue facing the implementation of mm‐waves, especially in tropical regions with consistent heavy rainfall such as Malaysia.…”
Section: The Effect Of Rain On the Propagation Of Mm‐wavesmentioning
confidence: 99%