A New Formula for the Prediction of the Site Diversity Improvement Factor

  • A. D. Panagopoulos
  • P.‐D. M. Arapoglou
  • G. E. Chatzarakis
  • J. D. Kanellopoulos
  • P. G. Cottis
Article

Abstract

Site diversity is considered as an effective technique to mitigate fading due to rain in satellite communication networks. This paper reviews a site diversity prediction model incorporating the recently released ITU‐R recommendations, which provide detailed statistics for the rain rate and the rain height. The results obtained are compared against experimental data with excellent results. A new prediction model for the site diversity improvement factor is proposed.

Keywords

satellite communications site diversity rain fades site diversity improvement 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]A. Bosisio, C. Capsoni, A. Paraboni, G. E. Corazza, F. Vatalaro, E. Vassallo, Analysis and applications of short-distance site diversity techniques for 20/30 GHz communication links, Global Telecommunications Conference, IEEE, vol. 1, pp. 749–753, Nov. 1995.Google Scholar
  2. [2]ITU-R, Characteristics of precipitation for propagation modeling, Propagation in Non-Ionized Media, Rec. P.837-4, Geneva, 2003.Google Scholar
  3. [3]ITU-R, Rain height model for prediction methods, Propagation in Non-Ionized Media, Rec. P.839-3, Geneva, 2001.Google Scholar
  4. [4]J. D. Kanellopoulos, S. G. Koukoulas, N. J. Koliopoulos, C. N. Capsalis, and S. G. Ventouras, Rain attenuation problems affecting the performance of microwave communication systems, Ann. Telecommun., 45, no. 7–8, pp. 437–451, 1990.Google Scholar
  5. [5]ITU-R, Propagation data and prediction methods required for the design of Earth-space telecommunication systems, Propagation in Non-Ionized Media, Rec. P.618-8, Geneva, 2003.Google Scholar
  6. [6]T. Hatsuda, Y. Aoki, H. Echigo, F. Takahata, Y. Maekawa, K. Fujisaki, Ku-Band Long Distance Site-Diversity (SD) Characteristics Using New Measuring System, IEEE Trans. Antennas and Propag., vol. 52, no. 6, pp.1481 – 1491, June 2004.Google Scholar
  7. [7]S. H. Lin, A method for calculating rain attenuation distribution on microwave paths, Bell Syst. Tech. Jour., vol. 54, no. 6, pp. 1051–1083, 1975.Google Scholar
  8. [8]R. K. Crane, Electromagnetic Wave Propagation Through Rain, John Wiley, 1996.Google Scholar
  9. [9]ITU-R, Specific attenuation model for rain for use in prediction methods, Propagation in Non-Ionized Media, Rec. P.838-2, 2003.Google Scholar
  10. [10]International Telecommunication Union, http://www.itu.int/ITU-R/Software/study-groups/rsg3/databanks/index.htmlGoogle Scholar
  11. [11]D. B. Hodge, An improved model for diversity gain on earth-space propagation paths, Radio Sci., vol. 17, no.6, pp. 1393–1399, 1982.Google Scholar
  12. [12]Jacobs D. A. H., The state of the Art in Numerical Analysis, London Academic Press, 1977.Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2004

Authors and Affiliations

  • A. D. Panagopoulos
    • 1
  • P.‐D. M. Arapoglou
    • 2
  • G. E. Chatzarakis
    • 3
  • J. D. Kanellopoulos
    • 4
  • P. G. Cottis
    • 5
  1. 1.School of Electrical and Computer Engineering
  2. 2.School of Electrical and Computer Engineering
  3. 3.Department of Electrical and Electronics Engineering
  4. 4.School of Electrical and Computer Engineering
  5. 5.School of Electrical and Computer Engineering

Personalised recommendations