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IRICT 2017: Recent Trends in Information and Communication Technology pp 180–188Cite as

Modeling of GPS Ionospheric Scintillation Using Nonlinear Regression Technique

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 5))

Abstract

The propagated wireless signals along Global Positioning System (GPS) link suffer ionospheric scintillations due to the ionospheric electron density irregularities. The GPS ionospheric scintillation and Total Electron Content (TEC) Monitor (GISTM) receiver is established at UTeM, Malaysia (Latitude 2° 14′ N, Longitude 102° 16′ E) to monitor ionospheric scintillations during the 24th solar maximum from September 2013 to August 2014. The GPS ionospheric scintillations are measured for the dual frequency L1 (1.57542 GHz) and L2C (1.2276 GHz). The mathematical model of the ionospheric scintillation is statistically estimated based on the collected experimental data using the nonlinear regression (NLR) technique. The scintillation index S4(L2C) is estimated as mathematical function of S4(L1). The proposed mathematical model has been validated and achieved lowest root mean square error (RMSE) value of 0.0523 for the S4(L2C).

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Acknowledgments

The authors would like to acknowledge the support of this work by Ministry of Higher Education Malaysia and Universiti Teknikal Malaysia Melaka (UTeM) on research grants FRGS/2012/FKEKK/SG02/02/1/F00125 and F00150.

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Authors and Affiliations

  1. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia

    E. F. Aon, Y. H. Ho & A. R. Othman

  2. Faculty of Engineering, Tripoli University, Tripoli, Libya

    E. F. Aon

  3. Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    R. Q. Shaddad

Authors
  1. E. F. Aon
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  2. Y. H. Ho
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  3. A. R. Othman
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  4. R. Q. Shaddad
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Corresponding author

Correspondence to E. F. Aon .

Editor information

Editors and Affiliations

  1. Faculty of Computing Information Systems Department, Universiti Teknologi Malaysia, Johar, Skudai, Malaysia

    Faisal Saeed

  2. Faculty of Computing Information Systems Department, Universiti Teknologi Malaysia, Johar, Skudai, Malaysia

    Nadhmi Gazem

  3. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  4. Faculty of Computing, ISSI Research Lab, University of Technology Malaysia, Skudai, Malaysia

    Ali Saleh Saed Balaid

  5. Faculty of Computing, University of Technology Malaysia, Skudai, Malaysia

    Fathey Mohammed

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Aon, E.F., Ho, Y.H., Othman, A.R., Shaddad, R.Q. (2018). Modeling of GPS Ionospheric Scintillation Using Nonlinear Regression Technique. In: Saeed, F., Gazem, N., Patnaik, S., Saed Balaid, A., Mohammed, F. (eds) Recent Trends in Information and Communication Technology. IRICT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-59427-9_20

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  • DOI: https://doi.org/10.1007/978-3-319-59427-9_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59426-2

  • Online ISBN: 978-3-319-59427-9

  • eBook Packages: EngineeringEngineering (R0)

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