Analysis of Ionospheric Correction Approach for IRNSS/NavIC System Based on IoT Platform

  • Mehul V. DesaiEmail author
  • Shweta N. Shah
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 220)


The supreme success of the future Internet of Things (IoT) depends on the ubiquitous and immaculate connectivity provides by satellite. Ionosphere is one of the major contributing factor in signal propagation for satellite based application, which results in degradation of measurement accuracy. In the India, Indian Regional Navigation Satellite System (IRNSS)/Navigation with Indian Constellation (NavIC) both L5 and S band signals are more affected by this ionosphere due to its low latitude geographical location. So, the future success of IRNSS system based on IoT platform depends on accuracy of ionospheric mitigation algorithm. This paper concentrate on comparative analysis of coefficient based model and dual frequency model based ionospheric model. The data is collected from IRNSS/NavIC receiver located at communication research laboratory, Electronics Engineering Department, SVNIT surat (21.16° Lat, 72.78° Long) provided by SAC, ISRO Ahmedabad. It is observed that the amount of delay contribution by L5 band is more compared to S band. The performance of dual frequency and coefficient based model is checked on different geomagnetic Kp index. It is also deduced from the comparison that the dual frequency model works better in stormy days, where coefficient based approach gave bad performance.


Indian Regional Navigation Satellite System (IRNSS) Navigation indian constellation (NavIC) Ionodelay Grid iono vertical error (GIVE) Klobuchar Dual frequency 



We are very thankful to Director, Group head DCTG SNAA and Scientist of Space Application Center, ISRO, Ahmedabad for providing the necessary guidance to do this type of analysis on IRNSS receiver provided by them.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Electronics Engineering DepartmentSVNITSuratIndia

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