Position Error Analysis of IRNSS Data Using Big Data Analytics

  • M. Geetha Priya
  • D. C. Kiran Kumar
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)


The current investigation involves the study and analysis of position error of IRNSS (Indian Regional Navigation Satellite System) receiver system data with respect to a fixed position using big data analytics tool namely, Hadoop. IRNSS is an indigenously developed navigation system by India with constellation of seven satellites. IRNSS data pertaining to week number 918 has been used to carry out the statistical analysis in three different modes of operation. Queries/commands were created in Hadoop to process more than 6 million data (week no. 918 data). The processed data and calculated statistical parameters show that IRNSS navigation system is a promising solution for various navigation related applications. The results obtained highlights that the position error is minimum in Hybrid (GPS-L1 + IRNSS-S + IRNSS-L5) mode of operation with better accuracy when compared with individual frequency mode of operation (L5 & S) of IRNSS receiver system.


GNSS IRNSS Satellites Position error Hadoop 



The authors would like to thank SAC ISRO-Ahmadabad, Sri Sringeri Sharada Peetham-Sringeri and Jyothy Institute of Technology-Bangalore for providing an opportunity to work with IRNSS receiver system.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Centre for Incubation, Innovation, Research and ConsultancyJyothy Institute of TechnologyBangaloreIndia

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