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Prediction model of time diversity using Japan rain radar data
Author(s) -
Chodkaveekityada Peeramed,
Fukuchi Hajime
Publication year - 2016
Publication title -
international journal of satellite communications and networking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 39
eISSN - 1542-0981
pISSN - 1542-0973
DOI - 10.1002/sat.1182
Subject(s) - computer science , radar , diversity (politics) , reliability (semiconductor) , rain rate , cumulative distribution function , diversity gain , time diversity , attenuation , communications satellite , satellite , meteorology , remote sensing , environmental science , telecommunications , statistics , probability density function , fading , geography , mathematics , power (physics) , physics , decoding methods , engineering , quantum mechanics , sociology , anthropology , optics , aerospace engineering
Summary The effects of rain attenuation on communication systems will become more pronounced in future satellite communication systems, especially with the planned use of the 21‐GHz band or higher‐frequency bands. Diversity techniques provide a solution to mitigate rain attenuation effects. This study proposes a time diversity technique, one such technique that is likely to demonstrate high effectiveness. To model the system, rainfall rate statistics are necessary, and reliability is improved as the amount of statistical data increases. This paper derives the cumulative distribution of the rainfall rate across Japan over 4 years using rain radar data from the automated meteorological data acquisition system and ground‐based rain radar network and evaluates the rainfall rate at 23 observation points across Japan. We carry out a performance evaluation for all locations within Japan to confirm the efficiency of the time diversity method. Finally, we propose prediction model of the time diversity gain for Japan and other significant parameter which is time correlation of rainfall rate that was found from the time diversity results for further investigation. Copyright © 2016 John Wiley & Sons, Ltd.