Statistical Evaluation of Measured Rain Attenuation in Tropical Climate and Comparison with Prediction Models
- Resource Type
- article
- Authors
- Abdulrahman A. Yusuf; A Falade; B. J Olufeagba; O. O Mohammed; Tharek A. Rahman
- Source
- Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 15, Iss 2, Pp 123-134
- Subject
- Distance factor
prediction models
rain-induced attenuation
RMS
tropical climates
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
- Language
- English
- ISSN
- 2179-1074
Abstract Substantial modifications have been made to the expressions for calculating distance factor and extrapolation techniques in the latest ITU-R P.530-14. However, its performance has not been rigorously evaluated in the tropical and equatorial climates. In this article, the new ITU-R method and three prediction models are validated using measurement data from tropical Malaysian climate. The data were collected on six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz. When tested against measurements, the Da Silva Mello model yields a significant improvement for the prediction of rain attenuation distributions. The prediction errors observed in the ITU-R model suggest the need for more data campaign in the afore-mentioned climates.