Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications

Abstract The position accuracy of Navigation with Indian Constellation (NavIC) system is affected by several sources of errors. Among them, the Ionospheric Time Delay (ITD) error is the most predominant one which depends upon the total electron content (TEC) present in the ionosphere. The ITD variat...

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Main Authors: Kavitha Devireddy, Santhosh Narsetty, Anil Kumar Ramavath, Naveen Kumar Perumalla
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Radar, Sonar & Navigation
Online Access:https://doi.org/10.1049/rsn2.12013
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author Kavitha Devireddy
Santhosh Narsetty
Anil Kumar Ramavath
Naveen Kumar Perumalla
author_facet Kavitha Devireddy
Santhosh Narsetty
Anil Kumar Ramavath
Naveen Kumar Perumalla
author_sort Kavitha Devireddy
collection DOAJ
description Abstract The position accuracy of Navigation with Indian Constellation (NavIC) system is affected by several sources of errors. Among them, the Ionospheric Time Delay (ITD) error is the most predominant one which depends upon the total electron content (TEC) present in the ionosphere. The ITD variations are more intense over low latitude regions due to the equatorial anomaly effects. Hence, modelling of ITD error is necessary. The International Reference Ionosphere (IRI)‐2016 model is one of the standard global ionospheric models to estimate the Vertical TEC (VTEC). This paper discusses about the VTEC deviations due to the IRI‐2016 model over low latitude Hyderabad station, Indian region using NavIC, Global Positioning System and Global Navigation Satellite System signals at corresponding Ionospheric Pierce Point latitude and longitudes for all months and various Kp indices during the low solar activity year 2017. In this work, cross correlation coefficient, the metric norm (L2N), Symmetric Kullbacke Leibler Distance metrics are used to evaluate the performance of IRI‐2016 model TEC with NavIC, GPS and GLONASS data. From the results, it is found that TEC predicted by the IRI‐2016 model produced smaller estimation errors with NavIC data over Indian region. The obtained results will be helpful for future updates of IRI model.
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spelling doaj.art-fa7d3c0181f941279b864b185fe14ff62022-12-22T02:00:29ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-01-01151375010.1049/rsn2.12013Validation of the IRI‐2016 model with Indian NavIC data for future navigation applicationsKavitha Devireddy0Santhosh Narsetty1Anil Kumar Ramavath2Naveen Kumar Perumalla3Department of Electronics and Communication Engineering Advanced GNSS Research Laboratory Osmania University Hyderabad Telangana IndiaDepartment of Electronics and Communication Engineering Advanced GNSS Research Laboratory Osmania University Hyderabad Telangana IndiaDepartment of Electronics and Communication Engineering Advanced GNSS Research Laboratory Osmania University Hyderabad Telangana IndiaDepartment of Electronics and Communication Engineering Advanced GNSS Research Laboratory Osmania University Hyderabad Telangana IndiaAbstract The position accuracy of Navigation with Indian Constellation (NavIC) system is affected by several sources of errors. Among them, the Ionospheric Time Delay (ITD) error is the most predominant one which depends upon the total electron content (TEC) present in the ionosphere. The ITD variations are more intense over low latitude regions due to the equatorial anomaly effects. Hence, modelling of ITD error is necessary. The International Reference Ionosphere (IRI)‐2016 model is one of the standard global ionospheric models to estimate the Vertical TEC (VTEC). This paper discusses about the VTEC deviations due to the IRI‐2016 model over low latitude Hyderabad station, Indian region using NavIC, Global Positioning System and Global Navigation Satellite System signals at corresponding Ionospheric Pierce Point latitude and longitudes for all months and various Kp indices during the low solar activity year 2017. In this work, cross correlation coefficient, the metric norm (L2N), Symmetric Kullbacke Leibler Distance metrics are used to evaluate the performance of IRI‐2016 model TEC with NavIC, GPS and GLONASS data. From the results, it is found that TEC predicted by the IRI‐2016 model produced smaller estimation errors with NavIC data over Indian region. The obtained results will be helpful for future updates of IRI model.https://doi.org/10.1049/rsn2.12013
spellingShingle Kavitha Devireddy
Santhosh Narsetty
Anil Kumar Ramavath
Naveen Kumar Perumalla
Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications
IET Radar, Sonar & Navigation
title Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications
title_full Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications
title_fullStr Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications
title_full_unstemmed Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications
title_short Validation of the IRI‐2016 model with Indian NavIC data for future navigation applications
title_sort validation of the iri 2016 model with indian navic data for future navigation applications
url https://doi.org/10.1049/rsn2.12013
work_keys_str_mv AT kavithadevireddy validationoftheiri2016modelwithindiannavicdataforfuturenavigationapplications
AT santhoshnarsetty validationoftheiri2016modelwithindiannavicdataforfuturenavigationapplications
AT anilkumarramavath validationoftheiri2016modelwithindiannavicdataforfuturenavigationapplications
AT naveenkumarperumalla validationoftheiri2016modelwithindiannavicdataforfuturenavigationapplications