The Global Positioning System

  • Joseph AwangeEmail author
  • John Kiema
Part of the Environmental Science and Engineering book series (ESE)


The Global Positioning System (GPS) is the oldest and most widely used GNSS system, and as such will be extensively discussed in the first part of this book. The development of GPS satellites dates from the 1960s [1, 2]. By 1973, the US military had embarked on a program that would culminate into the NAVSTAR GPS, which became fully operational in 1995. The overall aim was to develop a tool that could be used to locate points on the Earth without using terrestrial targets, some of which could have been based in domains hostile to the US. GPS satellites were therefore primarily designed for the use of the US military operating anywhere in the world, with the aim of providing passive real-time three-dimensional (3D) positioning, navigation, and velocity data. The civilian applications and time transfer, though the predominant use of GPS, is in fact, a secondary role.


  1. 1.
    Hofman-Wellenhof B, Lichtenegger H, Collins J (2001) Global positioning system: theory and practice, 5th edn. Springer, WienCrossRefGoogle Scholar
  2. 2.
    Leick A (2004) GPS satellite surveying, 3rd edn. Wiley, New YorkGoogle Scholar
  3. 3.
    Agnew DC, Larson KM (2007) Finding the repeat times of the GPS constellation. GPS Solutions 11:71–76. Scholar
  4. 4.
    Hofman-Wellenhof B, Lichtenegger H, Wasle E (2008) GNSS global navigation satellite system: GPS. GLONASS; Galileo and more, Springer, WienGoogle Scholar
  5. 5.
    El-Rabbany A (2006) Introduction to GPS global positioning system, 2nd edn. Artech House, New YorkGoogle Scholar
  6. 6.
    Awange JL, Grafarend EW (2005) Solving algebraic computational problems in geodesy and geoinformatics. Springer, BerlinGoogle Scholar
  7. 7.
    Steede-Terry K (2000) Integrating GIS and the global positioning system. ESRI Press, CaliforniaGoogle Scholar
  8. 8.
    Awange JL, Sharifi M, Ogonda G, Wickert J, Grafarend EW, Omulo M (2008) The falling Lake Victoria water level: GRACE, TRIMM and CHAMP satellite analysis. Water Resour Manag 22:775–796. Scholar
  9. 9.
    US Army Corps of Engineers (2007) NAVSTAR Global Positioning System surveying. Engineering and design manual, EM 1110-1-1003Google Scholar
  10. 10.
    Awange JL (2018) GNSS environmental sensing. Springer International Publishing, Revolutionizing environmental monitoringCrossRefGoogle Scholar
  11. 11.
    Awange JL (2012) Environmental monitoring using GNSS global navigations satellite systems. Springer, HeidelbergCrossRefGoogle Scholar
  12. 12.
    Irvine W, Maclennan F (2006) Surveying for construction, 5th edn. McGraw-Hill, BerkshireGoogle Scholar
  13. 13.
    Walker J, Awange JL (2017) Surveying for civil and mining engineers. Theory, workshops and practicals. Springer, HeidelbergGoogle Scholar
  14. 14.
    Bevis M, Businger S, Herring TA, Rocken C, Anthes RA, Ware RH (1992) GPS meteorology: remote sensing of water vapour using global positioning system. J Geophys Res 97:15787–15801CrossRefGoogle Scholar
  15. 15.
    Brunner FK, Gu M (1991) An improved model for the dual frequency ionospheric correction of GPS observations. Manuscripta Geodaetica 16:205–214Google Scholar
  16. 16.
    Spilker JJ (1980) GPS signal structure and performance characteristics, in Global Positioning System, vol 1. The Institute of Navigation, Washington, D.CGoogle Scholar
  17. 17.
    Saastamoinen J (1972) Atmospheric correction for the troposphere and stratosphere in radio ranging of satellites. In: Henriksen SW et al (eds) The use of artificial satellites for geodesy, geophysics monograph service, vol 15. AGU. Washington, D.C., pp 247–251Google Scholar
  18. 18.
    Davis JL, Herring TA, Shapiro II, Rogers AE, Elgered G (1985) Geodesy by radio interferometry: effects of atmospheric modelling errors on estimates of baseline length. Radio Sci. 20:1593–1607CrossRefGoogle Scholar
  19. 19.
    Elgered G, Davis JL, Herring TA, Shapiro II (1991) Geodesy by radio interferometry: water vapor radiometry for estimation of the wet delay. J Geophys Res 96:6541–6555CrossRefGoogle Scholar
  20. 20.
    Resch GM (1984) Water vapor radiometry in geodetic applications. In: Brunner FK (ed) Geodetic refraction. Springer, New York, pp 53–84CrossRefGoogle Scholar
  21. 21.
    Ware R, Rocken C, Hurst KJ (1986) A GPS baseline determination including bias fixing and water vapor radiometer corrections. J Geophys Res 91:9183–9192CrossRefGoogle Scholar
  22. 22.
    Herring T, Davis JL, Shapiro II (1990) Geodesy by radio interferometry: the application of Kalman filtering to the analysis of very long baseline interferometry data. J Geophys Res 95:12561–12581CrossRefGoogle Scholar
  23. 23.
    Tralli DM, Dixon TH, Stephens SA (1988) Effect of wet tropospheric path delays on estimation of geodetic baselines in the Gulf of California using the global positioning system. J Geophys Res 93(B6):6545–6557. Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Spatial SciencesCurtin UniversityPerthAustralia
  2. 2.Department of Geospatial and Space TechnologyUniversity of Nairobi NairobiKenya

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