NDLI: Time series prediction of short term scintillations of Ku band satellite links in Sri Lanka

Content Provider	IEEE Xplore Digital Library
Author	Premarathne, U. Samarasinghe, K.
Copyright Year	2010
Description	Author affiliation: Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka (Samarasinghe, K.) \|\| SLT VisionCom PVT LTD, Colombo 04, Sri Lanka (Premarathne, U.)
Abstract	Scintillation effect is a dominant atmospheric impairment among the various contributing factors for low fade margin communication systems operating on high frequency bands such as Ku. Empirical analysis of scintillations can be done using signal strength measurements which can be treated as a time series prediction problem in forecasting the short-term scintillation effect. This paper discusses the time series based statistical prediction analysis of tropospheric scintillation effect. The experiment was performed under clear sky conditions where the other attenuation contributions such as rain, dense clouds is minimum. The experiment was setup at the University of Moratuwa, Sri Lanka using a Ku band satellite downlink operating on a moderately high elevation angle of 45 degrees. The time series analysis was performed using linear, non-linear, fuzzy and neural prediction techniques. The results show that though the error of prediction is low for a fuzzy predictor, the neural and non-linear predictors are better in analysing the statistical properties of the predictor results.
Starting Page	1
Ending Page	5
File Size	1454480
Page Count	5
File Format	PDF
ISBN	9781424472031
e-ISBN	9781424472048
DOI	10.1109/WOCN.2010.5587372
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-06
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Irrigation Satellite links time series prediction Neurons fuzzy prediction neural prediction loglogistic probability distribution function short-term scintillation scintillation prediction
Content Type	Text
Resource Type	Article

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