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Research Article Open Access
The congestion at the lower frequency bands has forced the telecommunication system engineers to move to higher frequencies. However, microwave signal tends to undergo fading effect at frequencies above 10 GHz due to rainfall. Consequently, the 1-min rain rate data needed for the prediction of rain-induced attenuation is still very scarce in most part of the world, Nigeria inclusive. Therefore, appropriate conversion method is needed to convert the available data to the required 1-min rain rate data. In this paper, an empirical and dynamic method for conversion of long integration time to 1-min integration time has been proposed and compared with other conversion methods. In overall, conversion factor modeled with a power law (CF-PL) is found suitable to be used in this region based on an average rms error less than 2%.
Rain rate, Microwave, Attenuation, Integration time,1-min, Regression coefficient, Tropical location, Antenna Design, Cordless, Information Science, Wave Length, Radio Waves, Wireless Journals, Web Developer, Spatial Database, Soft Computing, Smart Grid, Digital Signal Processing, Satellite Communication, Radar Imaging, Multimedia Network, Datamining, Cyber Physical System, Cyber Security, Computer Networking, Telecommunications Journal