Abstract
Navigation with Indian Constellation (NavIC) or Indian Regional Navigational Satellite System (IRNSS) is an independent satellite based navigation system developed by Indian Space Research Organization (ISRO). Due to solar activity the Total Electron Content (TEC) of atmosphere will have fluctuations, which causes fluctuations in the satellite signal. IRNSS based on Internet of Things (IoT) platform positioning system signals also experience delays as it propagates through the atmosphere irregularities, the majority of which is contributed by the ionosphere. Hence, to make IRNSS based application free of ionodelay prior detection technique is essential. In this paper analysis is done using Fast Fourier Transform (FFT) Averaging Ratio (FAR) to classify the satellites which are more affected by the ionospheric irregularities. The detection threshold is found by using an inverse chi-squared distribution. The data received at the IRNSS receiver located at Communication Research Lab, SVNIT Surat (\(21.16^0\) N, \(72.78^0\) E), Gujarat is considered for analysis.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Raveendran, S., Desai, M.V., Shah, S.N. (2018). FFT Averaging Ratio Algorithm for IRNSS . In: Patel, Z., Gupta, S. (eds) Future Internet Technologies and Trends. ICFITT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-319-73712-6_19
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DOI: https://doi.org/10.1007/978-3-319-73712-6_19
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