Global Navigation Satellite Systems and Inertial Navigation

  • Mathias Lemmens
Part of the Geotechnologies and the Environment book series (GEOTECH, volume 5)


When one would rank the geo-data collection techniques developed the last three decades or so from most significant to least significant, positioning and navigation by means of Global Navigation Satellite Systems (GNSS) would head the list. GNSS enables obtaining precise positioning and timing information anywhere on land, on sea or in the air, day or night with high precision and reliability and against affordable costs. GNSS does not require cleared lines of sight between survey stations as other conventional surveying procedures, which rely on observing angles and distances between visible ground stations, required for determining two-dimensional or three-dimensional coordinates of points.


Global Position System Global Navigation Satellite System Global Navigation Satellite System Inertial Navigation System Atomic Clock 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Baarda W (1968) A testing procedure for use in geodetic networks. New Series, vol 2, no 5. Netherlands Geodetic Commission, Publications on Geodesy New Series. Delft, The NetherlandsGoogle Scholar
  2. Blewitt G (1989) Carrier phase ambiguity resolution for the global positioning system applied to geodetic baselines up to 2000 km. J Geophys Res 94(B8):10187–10203CrossRefGoogle Scholar
  3. Brown RG, Hwang PYC (1997) Introduction to random signals and applied Kalman filtering, 3rd edn. Wiley, New York, NYGoogle Scholar
  4. El-Rabbany A (2002) Introduction to GPS: the global positioning system. Artech House, Boston, MA. ISBN 1-58053-183-0Google Scholar
  5. Gelb A (ed) (1974) Applied optimal estimation. MIT Press, Cambridge, MAGoogle Scholar
  6. Grewal MS, Andrews AP (2000) Kalman filtering: theory and practice, 2nd edn. Wiley, New York, NYGoogle Scholar
  7. Groves PD (2008) Principles of GNSS, inertial, and multisensor integrated navigation systems. Artech House, Boston, London. ISBN 978-1-58053-255-6Google Scholar
  8. Hoffmann-Wellenhof B, Lichtenegger H, Collins J (1994) Global Positioning System: theory and practice, 3rd edn. Springer, New York, NYGoogle Scholar
  9. Jazwinski AH (1970) Stochastic processes and filtering theory. Academic, San Diego, CAGoogle Scholar
  10. Kalman RE (1960) A new approach to linear filtering and prediction problems. Trans ASME, Ser D, J Basic Eng 82:35–45CrossRefGoogle Scholar
  11. Kaplan ED, Hegarty C (eds) (2006) Understanding GPS: principles and applications, 2nd edn. Artech House, Boston, MA. ISBN 1-58053-894-0Google Scholar
  12. Klobuchar JA (1991) Ionospheric effects on GPS. GPS World 2(4):48–51Google Scholar
  13. Klobuchar JA (1996) Ionospheric effects on GPS. In: Parkinson BW, Spilker JJ (eds) Global Positioning System: theory and applications, volume 1, vol 163. American Institute of Astronautics and Aeronautics, Washington, DC, pp 485–515Google Scholar
  14. Lambeck K (1988) Geophysical geodesy. Clarendon Press, OxfordGoogle Scholar
  15. Langley RB (1997) GLONASS: review and update. GPS World 8(7):46–51Google Scholar
  16. Langley RB (1999) Dilution of precision. GPS World 10(5):52–59Google Scholar
  17. Leick A (2004) GPS satellite surveying, 3rd edn. Wiley, New York, NYGoogle Scholar
  18. Lemmens M (2005) Know your place from time. GIM Int 19(11):11Google Scholar
  19. Lemmens M (2007a) Car navigation: the nuisance of going mainstream. GIM Int 21(3):45–47Google Scholar
  20. Lemmens M (2007b) A bankrupt PPP. GIM Int 21(6):11Google Scholar
  21. Lemmens M (2007c) Beidou. GIM Int 21(10):11Google Scholar
  22. Maybeck PS (1979) Stochastic models, estimation and control, vols 1–3. Academic San Diego, CAGoogle Scholar
  23. Parkinson BW (1996) Introduction and heritage of NAVSTAR, the global positioning system. In: Parkinson BW, Spilker JJ (eds) Global positioning system: theory and applications, volume 1, vol 163. American Institute of Astronautics and Aeronautics, Washington, DC, pp 3–28CrossRefGoogle Scholar
  24. Soubielle J, Fijalkow I, Duvaut P, Bibaut A (2002) GPS positioning in a multipath environment. IEEE Trans Signal Process 50(1):141–150CrossRefGoogle Scholar
  25. Teunissen PJG (1995) The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation. J Geod 70(1–2):65–82CrossRefGoogle Scholar
  26. Teunissen PJG, Kleusberg A (eds) (1998) GPS for geodesy, 2nd edn. Springer, Berlin, Heidelberg, New YorkGoogle Scholar
  27. Teunissen PJG, de Jonge PJ, Tiberius CCJM (1997) Performance of the LAMBDA method for fast GPS ambiguity resolution. Navigation: JION 44(3):373–383Google Scholar
  28. Tsui JB-Y (2005) Fundamentals of Global Positioning System receivers: a software approach, 2nd edn. Wiley, New JerseyGoogle Scholar
  29. Wolf PR, Ghilani ChD (2006) Elementary surveying: an introduction to geomatics, 11th edn. Pearson Prentice Hall, Upper Saddle River, NJ. ISBN 0-13-148189-4Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Delft University of TechnologyDelftThe Netherlands

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