INS/GPS Integration

  • Aboelmagd Noureldin
  • Tashfeen B. Karamat
  • Jacques Georgy
Chapter

Abstract

There are contrasting pros and cons to INS and GPS. An INS is a self-contained autonomous navigation system that provides a bandwidth exceeding 200 Hz. It has good short term accuracy and provides attitude information in addition to position and velocity.

Keywords

Navigation Solution Clock Bias Accelerometer Bias Satellite Clock Bias Error State Vector 
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.

References

  1. Alban S, Akos DM, Rock SM, Gebre-Egziabher D (2003) Performance analysis and architectures for INS-aided GPS tracking loops. In: Proceedings of ION national technical meeting (NTM), U.S. Institute of navigation, Fairfax, Anaheim 11–24 Jan 2003, pp 611–622Google Scholar
  2. Gebre-Egziabher D (2007) What is the difference between ‘loose’, ‘tight’ and ‘ultra-tight’ and ‘deep’ integration strategies for INS and GNSS. InsideGNSSGoogle Scholar
  3. Groves PD (2008) Principles of GNSS, inertial and multi-sensor integrated navigation systems. Artech House, BostonGoogle Scholar
  4. Hide C, Moore T, Hill C, Park D (2006) Low cost, high accuracy positioning in urban environments. J Navig 59(3):365–379Google Scholar
  5. Maybeck PS (1979) Stochastic models, estimation, and control, vol 1. Academic, New YorkMATHGoogle Scholar
  6. Minkler G, Minkler J (1993) Theory and application of Kalman filtering. Magellan Book Company, Palm BayGoogle Scholar
  7. Misra P, Enge P (2001) Global positioning system: signals, measurements and performance. Ganga-Jamuna Press, LincolnGoogle Scholar
  8. Salycheve OS (2004) Applied inertial navigation: problem and solutions. BMSTU Press, MoscowGoogle Scholar
  9. Wagner JF, Wieneke T (2003) Integrating satellite and inertial navigation-conventional and new fusion approaches. Control Eng Pract 11(5):543–550CrossRefGoogle Scholar
  10. Wang W, Liu Z, Xie R (2005) An improved tightly coupled approach for GPS/INS integration. In: Piscataway NJ (ed) 2004 IEEE conference on robotics, automation and mechatronics (IEEE Cat. No.04EX913). IEEE, pp 1164–1167Google Scholar
  11. Wei G, Qi N, Guofu Z, Hui J (2007) Gyroscope drift estimation in tightly-coupled INS/GPS navigation system. In: Piscataway NJ (ed) 2007 second IEEE conference on industrial electronics and applications. IEEE, pp 391–396Google Scholar
  12. Wei W, Zong-yu L, Rong-rong X (2006) Quadratic extended Kalman filter approach for GPS/INS integration. Aerosp Sci Technol 10(8):709–713MATHCrossRefGoogle Scholar
  13. Yang Y (2008) Tightly coupled MEMS INS/GPS integration with INS aided receiver tracking loops. Ph.D. dissertation, University of Calgary, CalgaryGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Aboelmagd Noureldin
    • 1
  • Tashfeen B. Karamat
    • 2
  • Jacques Georgy
    • 3
  1. 1.Department of Electrical and Computer EngineeringRoyal Military College of Canada/Queen’s UniversityKingstonCanada
  2. 2.Department of Electrical and Computer EngineeringQueen’s UniversityKingstonCanada
  3. 3.Trusted Positioning IncCalgaryCanada

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