NDLI: Implementation of storm-time ionospheric forecasting algorithm using SSA

Content Provider	IET Digital Library
Author	Dabbakuti, J. R. K. Kumar Peesapati, Rangababu Yarrakula, Mallika Anumandla, Kiran Kumar Madduri, Sasi Vardhan
Abstract	Forecasting of total electron content (TEC)/global positioning system (GPS) signal delays in storm conditions is considered the most challenging task for accurate position estimation, especially in critical applications. Therefore, a storm-time ionospheric model is proposed to forecast TEC based on the artificial neural network (ANN) using singular spectrum analysis (SSA). The study area covers four Global Navigation Satellite System (GNSS) stations located in the low-latitude and two GNSS stations located in the mid-latitude ionosphere. The geographical area extends between 11–43°N latitude and 77–93°E longitude. The selection of GPS–TEC data is based on the storm criterion of Dst ≤ −50 nT, and the storm day data sets from 2009 to 2017 period are used for model development. The proposed algorithm is tested with the GPS–TEC data sets of three geomagnetic storm days (i) severe, (ii) moderate storm and (iii) strong at low and mid-latitudes. The average precision and mean absolute error of the proposed SSA-ANN model is 1.41 and 1.06 TECU (strong storm), respectively. The prediction performance of the proposed SSA-ANN model is compared with the standard principal component analysis-ANN model. The improvement factor of the SSA-ANN is improved by 43.82%.
Starting Page	1249
Ending Page	1255
Page Count	7
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 8, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0551
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-06-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accurate Position Estimation Artificial Neural Network Atmospheric/ionospheric/magnetospheric Technique And Equipment Geomagnetic Storm Days Global Navigation Satellite System Stations Global Positioning System GNSS Stations GPS–TEC Data Sets Ionosphere Ionospheric Disturbances Ionospheric Disturbances And Modification Experiments Ionospheric Structure Magnetic Storms Magnetospheric Magnetic Storms, Substorms Model Development Moderate Storm Neural Nets Pre-processing Tool Principal Component Analysis Satellite Navigation Singular Spectrum Analysis SSA–ANN Model Standard Principal Component Analysis–ANN Model Storm Criterion Storm Day Data Sets Storm-time Condition Storm-time Ionospheric Forecasting Algorithm Storm-time Ionospheric Model Total Electron Content (atmosphere)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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