UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCN06084


Registration ID:
216130

Page Number

452-457

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Title

Forecasting Of Ionospheric Scintillation Using NN-Nearest Neighbour Algorithm

Abstract

Accuracy of the navigation system is limited by many factors and one of the major factors among them is ionospheric scintillation. The signal from satellite reaches navigation receiver on ground travelling through the ionosphere and in this travel the signal properties are varied by the ionosphere due to the presence of the irregularities. The forecasting of ionospheric scintillation effects on navigation system is important for improving the accuracy of the positioning. In this paper, a Neural Network model is trained using Nearest Neighbour Algorithm and has been implemented for the forecasting of Scintillation Index (S4). For this work, Global Positioning System (GPS) data available at Darwin, Australia during 2013 has been considered. The analysis between Universal Time and Drift velocities, True height of F-layer, Kp index, Solar flux data has been performed for forecasting the Scintilation index (S4) values.

Key Words

pbest, gbest

Cite This Article

"Forecasting Of Ionospheric Scintillation Using NN-Nearest Neighbour Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.452-457, May - 2019, Available :http://www.jetir.org/papers/JETIRCN06084.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Forecasting Of Ionospheric Scintillation Using NN-Nearest Neighbour Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp452-457, May - 2019, Available at : http://www.jetir.org/papers/JETIRCN06084.pdf

Publication Details

Published Paper ID: JETIRCN06084
Registration ID: 216130
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 452-457
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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