2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC) 2009
DOI: 10.1109/imoc.2009.5427520
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Improved unified method for the prediction of rain attenuation in terrestrial and earth space links

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Cited by 6 publications
(6 citation statements)
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“…To validate the models, different validation tools such as the error figure and goodness-of-fit function, which is also known as relative error probability function, were mostly used [17,68,139].Figure 6 shows the frequency range supporting capacity of the studied models. As we can see, the maximum frequency range supporting model is the unified model [89], the second highest is the Crane TC model [94], and the third top model is the GSST model [66]. The lowest frequency band supporting models from lowest to highest bands are Singapore [33], the Breakpoint model [29], the LU model [68], and the Karasawa model [88].…”
Section: Comparative Study Of Slant Link Rain Fade Modelsmentioning
confidence: 84%
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“…To validate the models, different validation tools such as the error figure and goodness-of-fit function, which is also known as relative error probability function, were mostly used [17,68,139].Figure 6 shows the frequency range supporting capacity of the studied models. As we can see, the maximum frequency range supporting model is the unified model [89], the second highest is the Crane TC model [94], and the third top model is the GSST model [66]. The lowest frequency band supporting models from lowest to highest bands are Singapore [33], the Breakpoint model [29], the LU model [68], and the Karasawa model [88].…”
Section: Comparative Study Of Slant Link Rain Fade Modelsmentioning
confidence: 84%
“…Empirical models SAM model [32] Singapore [33] Garcia [34] GSST [66] LU model [68] Karasawa [88] Breakpoint [29] Unified [89] YLO model [12] Statistical models M-K model [90] MARIMA [91] ITU-R P.618 [45] PEARP [92] Das Model 1 [93] Physical models Bryant [37] Crane TC [94] PM Model [95] SC EXCELL [62] Fade models Japan [96] Das model 2 [97] ITU-R P.1623 [98] Dao model [99] Learning-based AANN [100] The SAM model [32] has evolved through some previously published articles [101].…”
Section: Rain Fade Modelsmentioning
confidence: 99%
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“…This model [68] uses the full rainfall rate distribution with multiple nonlinear regressions from the rain attenuation database. It is primarily developed for terrestrial links and can be later extended to slant links.…”
Section: Da Silva/unified Modelmentioning
confidence: 99%
“…Mainly based on experimental data, several empirical and semi-empirical rain attenuation prediction methods have been proposed over the years. The widely used predicting models currently are the ITU-R model and the Crane model [4]. The ITU-R.838-3 predicts the effect of rain attenuation in the terrestrial link.…”
Section: Introductionmentioning
confidence: 99%