Evaluation of ITU-R rain attenuation prediction methods for terrestrial links
F. J. A. Andrade, P. A. Dela Cruz, Luiz da Silva Mello
Abstract
F. J. A. Andrade, P. A. Dela Cruz, Luiz da Silva Mello
Abstract
In this paper, the evolution of ITU-R rain attenuation prediction methods from previous versions to the most recent one is evaluated in terms of their performance in predicting attenuation, as compared to experimental data collected from 77 terrestrial links located in 16 countries. Test results indicate that the current version performs better than the previous one. However, a prediction method that introduces the concept of effective rain rate and uses the full rainfall rate distribution for the prediction of the rain attenuation distribution is also included in the comparison and outperforms current ITU-R model.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper, the evolution of ITU-R rain attenuation prediction methods from previous versions to the most recent one is evaluated in terms of their performance in predicting attenuation, as compared to experimental data collected from 77 terrestrial links located in 16 countries. Test results indicate that the current version performs better than the previous one. However, a prediction method that introduces the concept of effective rain rate and uses the full rainfall rate distribution for the prediction of the rain attenuation distribution is also included in the comparison and outperforms current ITU-R model.
Key concepts: Attenuation, Rain rate, Computer science, Current (fluid), Environmental science, Remote sensing, Meteorology, Geology