Optimal Choice of mother wavelet for satellite obtained Very Low Frequency radio wave feature selection
Article Sidebar
Main Article Content
Very low frequency (VLF) radio wave signals, frequency range 2 kHz to 20 kHz play imperative role for probing of ionosphere and magnetosphere. There are three main VLF signals whistlers, chorus and hiss. They all have specific characteristics with respect time and frequency. Wavelet analysis is a widely used time-frequency analysis method. To propose a more competent analysis of the VLF signal, the wavelet analysis is deliberated. In wavelet analysis, the best mother wavelet is chosen for evaluating the signals, as many mother wavelets applied to the signal may yield diverse results. In this study, we used VLF signals obtained from the DEMETER satellite for wavelet analysis. For the “optimal" choice of the mother wavelet for such signals, we applied an energy-based quantitative approach at different frequency levels of VLF signals, which were obtained by Discrete Wavelet Transform (DWT). The results show that Haar and Bior3.5 are the optimum mother wavelets for the analysis of VLF signals.
Downloads
References
Barra R., D. L lanwyn Jonesb, C.J. Rodgerc, ELF and VLF radio waves, Journal of Atmospheric and Solar-Terrestrial Physics 62, 1689–1718,2000.
Cohen, M. B., U. S. Inan, and E. P. Paschal Sensitive broadband ELF/VLF radio reception with the AWESOME instrument, IEEE Trans. Geosci. Remote Sens., 48(1), 3–17, 2009
Collier Andrew B.: VLF and ULF Waves Associated with Magnetospheric Substorms .Department of Space and Plasma Physics School of Electrical Engineering Royal Institute of Technology Stockholm, Sweden Ph.d. thesis2006.
Gallet,R.M., and R.A.Helliwell, Origin of very low frequency emissions, J.Res.N.B.S.,63D,21,1959.
Williams,D.J.,J.F.Arens,and L.J. Lanzerotti, Observations of trapped electron at low and high altitude,J.Geophys. Res., 73, 5673, 1968.
Helliwell, R.A.,Whistler and related ionospheric phenomena,Stanford University Press, Stanford, California, USA. 1965.
Helliwell, R.A, ‘A theory of discrete VLF emission from the magnetosphere’, J. Geophy. Res., 72, 4773-4789, 1967.
Sazhin, S.S. and Hayakawa, M, Magnetospheric chorus emissions: A review,Planet. Space Sci., 40, 681-697, 1992.
Trakhtengerts, V.Y., A generation mechanism for chorus emissions, Ann.Geophys., 17, 95-100,1999.
Parrot, M., Benoist, D., Berthelier, J. J., Blecki, J., Chapuis, Y., Colin, F., Elie, F., Fergeau, P., Lagoutte, D., Lefeuvre, F., Legendre, C., Lévêque, M., Pincon, J. L., Poirier, B., Seran, H.- C., and Zamora, P.: The magnetic field experiment IMSC and its data processing onboard DEMETER: Scientific objectives, description and first results, Plan. Space Scie., 54, 441–455, https://doi.org/10.1016/j.pss.2005.10.015, 2005.
Lagoutte, D., Brochot, J., Latremoliere, P.,SWAN, Software for wave analysis, version 2.4, (part 1: User’s guide; part 2: Analysis tools; part 3: User’s project interface). Technical Report, Laboratory of Physics Chimie Environment/CNRS, Orle’ans, France, 2000.
Parrot M. The magnetic field experiment IMSC and its data processing onboard DEMETER: Scientific objectives, description and first results. Planet. Space Sci., 54, 441–455 2006
Blecki J,Parrot M and R.Wronowski ELF and VLF signatures of sprites registered onboard the low altitude satellite DEMETER Ann. Geophysics, 27, 2599–2605, 2009.
Lagoutte D. and Latermoliere P. ” SAWN Analysis Tools”version 2.0,LPCE/NI/003.C-part2,May 1997.
Mallat S., A Theory for Multiresolution Signal Decomposition: the Wavelet Representation, IEEE Pattern Anal. And Machine Intel, vol. 11, no. 7, 674-693. 1989.
Debasis Choudhury ,characterization of power quality disturbances using signal processing and soft computing techniques, thesis Department of Electrical Engineering National Institute of Technology Rourkela, 2013
Daniel T.L. Lee and Akio Yamamoto Wavelet analysis and theoretical application Hewlett-Packard Journal,1994.
Ngui w.k.,Leong Salman M.,Lim Meng Hee Abdelrhman A.M.,Wavelet analysis: Mother selection methods Applied Mechanics and Materials Vol.393 ,953-958,2013.
Shukla, K. K., Tiwari Arvind K., Efficient Algorithms for Discrete Wavelet Transform With Applications to Denoising and Fuzzy Inference Systems springer Briefs in Computer Science, 2013.
Morsi W. G. and El-Hawary M. E., The most suitable Wavelet for steady-state power systemdistorted waveforms, Canadian Conference on Electrical and Computer Engineering. 17-22, 2008.
Haar, Alfréd,"Zur Theorie der orthogonalen Funktionensysteme", Mathematische Annalen 69 (3): 331–371, 1910.
Charles K. Chui, An Introduction to Wavelets, Academic Press, 1992.
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.