Development of rain attenuation model for Southeast Asia equatorial climate. Issue 10 (1st July 2013)

• Record Type: Journal Article
• Authors: Nalinggam, Renuka; Ismail, Widad; Jit Singh, Mandeep; Islam, Mohammad Tariqul; Menon, P. Susthitha
• Is Part Of: IET communications. Volume 7:Issue 10(2013)
• Page Start: 1008
• Page End: 1014
• Publication Date: 2013-07-01
• Subjects: atmospheric electromagnetic wave propagation -- mean square error methods -- rain -- statistical distributions; rain attenuation model -- Southeast Asia equatorial climate -- statistical distribution -- microwave communication links -- millimeter wave communication links -- ITU‐R P.618‐10 model -- tropical countries -- equatorial regions -- rainfall rate -- elevation angle -- prediction errors -- mean square error -- standard deviation -- root mean square -- Nigeria -- Kenya -- Papua New Guinea; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2012.0298
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : Statistical distribution of rain attenuation is essential for development of microwave and millimeter‐wave communication links. Therefore rain‐related statistics are very important for a commercialisation system designer. This study proposes modifications to the International Telecommunication Union (ITU‐R P.618‐10) model and an appropriate rain attenuation prediction model for tropical countries. The model was developed based on data obtained from tropical and equatorial regions. The proposed model uses rainfall rate and rain attenuation at 0.01% of the time, R 0.01 and A 0.01, elevation angle θ and altitude of site h s, respectively, as input parameters. The proposed model showed remarkable agreement with existing rain attenuation measured data in terms of prediction errors for mean square, standard deviation and root‐mean square. The proposed rain attenuation model was used for validation by comparing the model with measured data collected from Nigeria, Kenya and Papua New Guinea, whereby the proposed model gave a percentage error below 12%.