An Investigation of the Signal Performance of the Current and Future GNSS in Typical Urban Canyons in Australia Using a High Fidelity 3D Urban Model

  • Kefei Zhang
  • Gang-Jun Liu
  • Falin Wu
  • Liam Densley
  • Günther Retscher

Abstract

With the rapid development of spatial information infrastructure in US, Europe, Japan, China and India, there is no doubt that the next generation Global Navigation Satellite Systems ( GNSS) will improve the integrity, accuracy, reliability and availability of the position solution. GNSS is becoming an essential element of geospatial infrastructure and consequently part of our daily lives. However, the applicability of GPS in supporting a range of location-sensitive applications such as location based services (LBS) in an urban environment is severely curtailed by the interference of the 3D urban settings. No investigation has been carried out to accurately quantify and reliably evaluate the upcoming improvements like Galileo in typical 3D Australian urban environments.

A high-fi delity 3D urban model of Melbourne Central Business District is built using ArcGIS and large scale high-resolution spatial data sets to characterise and gain in-depth understanding of such interferences, and to enable an effective implementation of location-based optimisation alternatives. This model is used to support a comprehensive simulation study of current and future GNSS signal performance, in terms of signal continuity, availability, geometry, positioning accuracy and reliability based on a number of scenarios. The design, structure and major components of the simulator are fi rst outlined. Useful time-stamped spatial patterns of the signal performance over the experimental urban areas have been revealed which are very valuable for supporting LBS applications, such as emergency responses, the optimisation of wireless communication infrastructures and vehicle navigation services.

Keywords

Global Navigation Satellite System location based services 3D urban model numerical simulation 

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References

  1. Bradbury J (2007) Prediction of Urban GNSS Availability and Signal Degradation Using Virtual Reality City Models. Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation.Fort Worth, Texas, USA.Google Scholar
  2. Breeuwer E, Farnworth R, Soley S (2001) EGNOS Operational Validation: A Status Update. Proceedings of the 14th International Technical Meeting of the Satellite Division of the Institute of Navigation.Salt Lake City, UT, USA.Google Scholar
  3. Chatre J, Ludwig D (2003) Galileo: Benefi ts for Location Based Services. Journal of Global Positioning Systems,1, 57–66.Google Scholar
  4. ESRI (2006) ArcGIS – The Comple Geographic Information System. http://www.esri.com/ software/arcgis/index.html.
  5. European Commission (2001) European Transport Policy for 2010: Time to Decide. European Commission, http://ec.europa.eu/transport/white_paper/.
  6. Misra P, Enge P (2006) Global Positioning System – Signals, Measurements, and Performance, Lincoln, Massachusetts, USA, Ganga-Jamuna Press.Google Scholar
  7. Montenbruck O, Günther C, Graf S, Garcia- Fernandez M, Furthner J, Kuhlen H (2006) GIOVE – A Initial Signal Analysis. GPS Solutions,10146–153.CrossRefGoogle Scholar
  8. Parkinson BW, Spilker JJ, Axelrad P, Enge P (1996) Global Positioning System: Theory and Applications,370 L’Enfant Promenade, SW, Washington, DC 20024-2518, American Institute of Aeronautics and Astronautics, Inc.Google Scholar
  9. Rau JY, Chen NY, Chen LC (2002) True Orthophoto Generation of Built-up Areas Using Multi-view Images. Photogramm, Engm Remot Sens.,68581–588.Google Scholar
  10. Sisodia AK, Hota JK, Vora NJ, Siddiqui A, Sanandiya HC, Bera SC (2003) Indian Plan for Satellite-Based Navigation System for Civil Aviation. Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation. Portland, Oregon, USA.Google Scholar
  11. Swann J, Chatre E, Ludwig D (2003) Galileo: Benefi ts for Location Based Services. Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation.Portland, Oregon, USA.Google Scholar
  12. USCG Navigation Center (2006) GPS Almanacs, NANUs, and Ops Advisories (Including archives). Navigation Center, United States Coast Gard, U.S. Department of Homeland Security, http://www.navcen.uscg.gov/gps/almanacs.htm.
  13. Wu F (2004) A Study on High Precision Navigation Satellite System. Laboratory of Communication Engineering.Tokyo, Japan, Tokyo University of Marine Science and Technology.Google Scholar
  14. Wu F, Kubo N, Yasuda A (2004) Performance Evaluation of GPS Augmentation Using Quasi-Zenith Satellite System. IEEE Transactions on Aerospace and Electronic Systems, 40, 1249–261.CrossRefGoogle Scholar
  15. Wu F, Zhang K, Yasuda A, Liu GJ (2007) Performance Improvement of Integrated Modernized GPS and Galileo System. Journal of Geospatial Engineering,9 12–21.Google Scholar
  16. Zhang K, Seynat C, Mowlam A, Wu F,Kealy A (2005) An Investigation of Future GNSS in Support of Research and Development of Positioning Technology in Australia. International Symposium on GPS/ GNSS 2005.Hong Kong, China.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kefei Zhang
    • 1
  • Gang-Jun Liu
    • 1
  • Falin Wu
    • 1
  • Liam Densley
    • 1
  • Günther Retscher
    • 1
  1. 1.School of Mathematical and Geospatial Sciences RMIT UniversityAustralia

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