NDLI: Temporal characterization of rainfall time series analysis for wireless networks

Content Provider	IEEE Xplore Digital Library
Author	Alonge, A.A. Afullo, T.J.
Copyright Year	2013
Description	Author affiliation: Sch. of Electr., Electron. & Comput. Eng., Univ. of KwaZulu-Natal, Durban, South Africa (Alonge, A.A.; Afullo, T.J.)
Abstract	Estimation analysis for rainfall time series can be applied as a technique in improving dynamic rain fade countermeasures. In this study, the nth-powered sine function is considered in analyzing the time series patterns in Durban, South Africa. With an assumed exponent factor, n = 2 and width factor, β = 0.9, the proposed function is seen as an appropriate envelope with Root Mean Square (RMS) error ranging between 13% and 30%. The Fast Fourier Transform (FFT) and Power Spectral Density (PSD) show that the frequency components of the measured rainfall residues compare well with those of the proposed function. At simulated microwave frequencies of 12 GHz, the function is seen to mask and track the fluctuating rainfall specific attenuation patterns at our site.
Starting Page	1
Ending Page	5
File Size	996875
Page Count	5
File Format	PDF
e-ISBN	9781479902392
DOI	10.1109/VITAE.2013.6617078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fourier transforms Density measurement Rainfall fade Nth-powered sine function Rain service time Rainfall rate
Content Type	Text
Resource Type	Article

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Simulation of rain attenuation time series and fade duration statistic

Rainfall rate modeling for various rainfall types in South Africa

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