STATISTICAL EVALUATION OF MEASURED RAIN ATTENUATION IN TROPICAL CLIMATE AND COMPARISON WITH PREDICTION MODELS

Authors

  • Abdulrahman A. Yusuf
  • Falade, A
  • Olufeagba, B. J
  • Mohammed, O. O
  • Tharek A. Rahman

DOI:

https://doi.org/10.1590/2179-10742016v15i2624

Keywords:

Distance factor, prediction models, rain-induced attenuation, RMS, tropical climates

Abstract

Rain attenuation prediction model over terrestrial links in equatorial and tropical climates has been reported by several authors. Correction factors have been incorporated in the expressions for distance factor and extrapolation method in the latest ITU-R P.530-14. However, its performance has not been rigorously evaluated in the afore-mentioned climates. The comparison of measurement data with ITU-R P.530-14 and three prediction models is presented in this article. The data were collected on six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz in a tropical Malaysian climate. When tested against measurements, the Da Silva Mello method yields a significant improvement for the prediction of rain attenuation complementary cumulative distribution functions (CCDFs) over tropical regions, compared to other models. The observed prediction errors suggest that more data are still needed from these climates to improve the model performances

References

[1] Crane, R. K, Electromagnetic Wave Propagation Through Rain. New York: Wiley, 1996.
[2] Ojo, J. S., M. O. Ajewole, and S. K. Sarkar, “Rain rate and rain attenuation prediction for satellite communication in Ku
and Ka bands over nigeria,” Progress In Electromagnetics Research B, Vol.5, pp. 207–223, 2008.
[3] Abdulrahman A. Y. , Rahman T. A., Rahim S. K. A. and Ul Islam M. R. A new rain attenuation conversion technique for
tropical regions. Progress In Electromagnetics Research B, Vol. 26: pp. 53 – 67, 2010.
[4] Athanasios D. Panagopoulos and John D. Kanellopoulos, “Statistics of Differential Rain Attenuation on Converging
Terrestrial Propagation Paths,” IEEE Transactions on Antennas and Propagation, Vol. 51, No. 9, pp.2514-2517, 2003.
[5] Mandeep, JS. Rain attenuation statistics over a terrestrial link at 32.6 GHz at Malaysia. IET Microw. Antennas Propag.,
Vol.3, No. 7, pp. 1086–1093, 2009.
[6] Recommendation ITU-R P.530-13: Propagation data and prediction methods required for the design of terrestrial lineof-sight systems, 2009.
[7] Pontes, M.S, Da Silva Mello L. A. R., Souza, R. S. L., Miranda, E. C. B., “Review of rain attenuation studies in tropical
and equatorial regions in Brazil, In Proceeding of the 5th International Conference on Information, Communications and
Signal processing (ICICSP 05), IEEEE Xplore, Bangkok, 2005.
[8] Ojo, J. S, Ajewole, M. O., Emiliani, L. D., “One-minute rain rate countour maps for microwave communication systems
planning in a tropical country: Nigeria,” IEEE Antenna and Propagation Magazine, October, Vol.51, No. 5, pp. 82-89,
2009.
[9] Lin, S. H., “National long term rain statistics and empirical calculation of 11GHz microwave rain attenuation,” The Bell
System Technical Journal, vol. 56, no. 9, pp. 1581-1604, 1997.
[10] Moupfouma, F., “Electromagnetic waves attenuation due to rain: A prediction model for terrestrial or L.O.S SHF and
EHF radio communication,” J. Infrared Milli Terahz Waves, vol. 30, pp.622–632, 2009.
[11] Da Silva Mello, L. A. R.; Pontes, M. S.; De Souza, R. M.; Perez Garcia, N. A., “Prediction of rain attenuation in
terrestrial links using full rainfall rate distribution,” Electronics Letters, vol. 43, no. 25, pp.1442-1443, 2007.
[12] ITU-R, Geneva, Switzerland, “Propagation data and prediction methods required for the design of terrestrial line-ofsight systems,” Recommendation ITU-R P.530-14, 2012.
[13] Abdulrahman, A. Y.; Rahman, T. A.; Abdulrahim, S. K.; Islam, M. R., “Rain attenuation measurements over terrestrial
microwave links operating at 15GHz in Malaysia,” Int. J. of Com. Syst., vol. 25, pp.1479–1488, 2012.
[14] Goddard, J. W. F., Propagation in rain and cloud: Spartial temporal structure of rain, 2nd Edition, Propagation of Radio
Waves. The Institution of Electrical Engineers, IEE: U. K., 2003.
[15] Bryant GH, Adimula I, Riva C, Brussaard G. Rain attenuation statistics from rain cell diameters and heights.
International Journal of Satellite Communications, Int. J. Satell. Commun., 19: pp. 263- 283, 2001.
[16] Abdulrahman, A. Y., Rahman, T. A., Abdulrahim, S. K., Islam, M. R, Abdulrahman, M. K. A. Rain Attenuation
Predictions on Terrestrial Radio Links: Differential Equations Approach. Transactions on Emerging
Telecommunications Technologies (TETT). vol. 23, pp.293-301, January 5, 2012.
[17] ITU-R, Geneva, Switzerland, “Specific attenuation model for rain for use in prediction methods,” Recommendation
ITU-R P.838-3, 2005.
[18] Chebil, J, Rahman, T. A. Rain rate statistical conversion for the prediction of rain attenuation in Malaysia. Electronics
Letters, vol. 35, pp.1019-1021, 1999.
[19] ITU-R, Geneva, Switzerland, “Acquisition, presentation and analysis of data in studies of tropospheric propagation,”
Recommendation ITU-R P811-13, 2009.

Downloads

Published

2016-08-01

How to Cite

Abdulrahman A. Yusuf, Falade, A, Olufeagba, B. J, Mohammed, O. O, & Tharek A. Rahman. (2016). STATISTICAL EVALUATION OF MEASURED RAIN ATTENUATION IN TROPICAL CLIMATE AND COMPARISON WITH PREDICTION MODELS. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 15(2), 123-134. https://doi.org/10.1590/2179-10742016v15i2624

Issue

Section

Regular Papers