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Auto Regressive Ionospheric Prediction model for GPS Applications

by Karthik.p, D. Venkata Ratnam, Nagireddy Vanga, P. S. Brahmanadam, B. Sada Siva Rao, K. Sarat Kumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 4
Year of Publication: 2012
Authors: Karthik.p, D. Venkata Ratnam, Nagireddy Vanga, P. S. Brahmanadam, B. Sada Siva Rao, K. Sarat Kumar
10.5120/7334-9966

Karthik.p, D. Venkata Ratnam, Nagireddy Vanga, P. S. Brahmanadam, B. Sada Siva Rao, K. Sarat Kumar . Auto Regressive Ionospheric Prediction model for GPS Applications. International Journal of Computer Applications. 48, 4 ( June 2012), 7-9. DOI=10.5120/7334-9966

@article{ 10.5120/7334-9966,
author = { Karthik.p, D. Venkata Ratnam, Nagireddy Vanga, P. S. Brahmanadam, B. Sada Siva Rao, K. Sarat Kumar },
title = { Auto Regressive Ionospheric Prediction model for GPS Applications },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 4 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number4/7334-9966/ },
doi = { 10.5120/7334-9966 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:11.773408+05:30
%A Karthik.p
%A D. Venkata Ratnam
%A Nagireddy Vanga
%A P. S. Brahmanadam
%A B. Sada Siva Rao
%A K. Sarat Kumar
%T Auto Regressive Ionospheric Prediction model for GPS Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 4
%P 7-9
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Global Positioning System (GPS) is a satellite based navigation system. The GPS system positional accuracy is limited by ionospheric error. Ionospheric delay is a function of Total Electron Content (TEC). Prediction of ionospheric delays is very important for high precision application such as civil aircraft landing and missile guidance application. In this paper, a new modeling technique known as an Auto Regressive (AR) model is proposed for predicting the TEC values. This model is based on short term time series analysis. This model works with basic principle of regression, where past data i. e. Previous days TEC is used for predicting future values. The GPS data by Hyderabad station are considered. It is found that the AR model gives better results for short term predictions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ionospheric Tec Prediction Ar Model Regression Forecast

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