NDLI: Scintillation Time Series Synthesis for Satellite Links with Hidden Markov Model

Content Provider	IEEE Xplore Digital Library
Author	Csurgai-Horvath, L. Bito, J.
Copyright Year	2007
Description	Author affiliation: Budapest Univ. of Technol. & Econ., Budapest (Csurgai-Horvath, L.; Bito, J.)
Abstract	This paper introduces a method to model the rapid attenuation fluctuations (the scintillation) on satellite links with generating the time series of attenuation levels. The applied model is a hidden Markov model which is parameterized from an appropriate filtered Gaussian white noise signal. For the parameterization of the Markov chain the Baum-Welch expectation-maximization algorithm has been used. The resulting Markov model is applicable to generate scintillation time series for any desired duration with the time and amplitude resolution of the original training data. From the synthesized time series the statistical properties like the cumulative distribution and the dynamics of the scintillation can be also determined. To prove the accuracy of the model at first the cumulative distribution function of the original and synthesized time series are compared. A further test of the model validity is the comparison with real scintillation measurement on a land mobile satellite link. Finally, the spectral test of the filtered Gaussian model, the hidden Markov model and the satellite link measurement shows that the constant and decreasing parts in the periodograms are showing similarities what confirms the good quality of the model.
Starting Page	22
Ending Page	25
File Size	3358810
Page Count	4
File Format	PDF
ISBN	9781424409389
DOI	10.1109/IWSSC.2007.4409384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-13
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fluctuations hidden Markov model scintillation time series Expectation-maximization algorithms Signal resolution spectral test Satellites Hidden Markov models Training data White noise Attenuation Signal synthesis Testing
Content Type	Text
Resource Type	Article

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