NDLI: Multifractal identifying and characterization of ionospheric propagation modes

Content Provider	IEEE Xplore Digital Library
Author	Dziri, A. Goutelard, C. Thien, H.V. Bouallegue, C.A.
Copyright Year	2003
Description	Author affiliation: Laboratoire Signaux et Syst., Conservatoire Nat. des Arts et Metiers, Paris, France (Dziri, A.; Goutelard, C.; Thien, H.V.)
Abstract	The dynamic nature of the high latitude ionosphere leads to the formation of small-scale ionospheric irregularities capable of scattering HF radio waves. The large-scale irregularities were identified by many models, however, small-scale irregularities are not well identified and characterized. The aim of this paper is to present a new wavelet-based multifractal approach to identify the ionospheric propagation modes and to localize the small irregularities and quantify it by a multifractal dimension mapping. We have adopted the scattering function as a tool for the ionosphere channel characterization. The non homogeneity of the scattering function expressed according to the time propagation and Doppler shift led us to split it into two one dimensional vectors. Applying the scaling analysis to the two vectors, we have deduced a cut-off scale for wavelet decomposition used for the multifractal analysis. Our analysis was performed over experimental scattering functions of the ionospheric channel obtained with an experimental support: STU-DIO station installed near to Paris. Results will be very useful for further ionosphere modeling.
Starting Page	335
Ending Page	338
File Size	254408
Page Count	4
File Format	PDF
ISBN	0780379462
DOI	10.1109/ISSPA.2003.1224882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-04
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Acoustic scattering Doppler shift Ionosphere Propagation delay Wavelet analysis Delay effects Art Large-scale systems Spread spectrum communication
Content Type	Text
Resource Type	Article

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