Research Article
Analysis of Ionospheric Correction Approach for IRNSS/NavIC System Based on IoT Platform
@INPROCEEDINGS{10.1007/978-3-319-73712-6_18, author={Mehul Desai and Shweta Shah}, title={Analysis of Ionospheric Correction Approach for IRNSS/NavIC System Based on IoT Platform}, proceedings={Future Internet Technologies and Trends. First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings}, proceedings_a={ICFITT}, year={2018}, month={2}, keywords={Indian Regional Navigation Satellite System (IRNSS) Navigation indian constellation (NavIC) Ionodelay Grid iono vertical error (GIVE) Klobuchar Dual frequency}, doi={10.1007/978-3-319-73712-6_18} }- Mehul Desai
Shweta Shah
Year: 2018
Analysis of Ionospheric Correction Approach for IRNSS/NavIC System Based on IoT Platform
ICFITT
Springer
DOI: 10.1007/978-3-319-73712-6_18
Abstract
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 5 and 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 5 band is more compared to band. The performance of dual frequency and coefficient based model is checked on different geomagnetic 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.