Array-Aided CORS Network Ambiguity Resolution

Conference paper
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 139)

Abstract

Array-aided precise point positioning (A-PPP) is a measurement concept that uses Global Navigation Satellite System (GNSS) data, from multiple antennas in an array of known geometry, to realize the improved GNSS parameter estimation. In this contribution the ambiguity resolution benefits of A-PPP for antenna-array equipped CORS stations is explored. To demonstrate the performance of array-aided ambiguity resolution between-station, an 80 km baseline experiment, equipped with a 6-antenna array at each CORS station, was conducted. We formulate the underlying model, show how the array-data to be reduced and present numerical results on the ambiguity resolution performance. The results show that the use of antenna-arrays can significantly improve the CORS network ambiguity resolution.

Keywords

A-PPP Antenna-array Ambiguity resolution Success-rate Bootstrapping 

Notes

Acknowledgements

The second author is the recipient of an Australian Research Council (ARC) Federation Fellowship (project number FF0883188). Part of this work was done in the framework of the project “New Carrier-Phase Processing Strategies for Next Generation GNSS Positioning” of the Cooperative Research Centre for Spatial Information (CRC-SI2). All these supports are gratefully acknowledged. The members in GNSS Research Center are appreciated for their help to set up the GPS field experiment.

References

  1. Buist P, Teunissen P, Giorgia G, Verhagen S (2011) Multivariate bootstrapped relative positioning of spacecraft using GPS L1/Galileo E1 signals. Adv Space Res 47:770–785CrossRefGoogle Scholar
  2. Giorgi G, Teunissen P, Verhagen S, Buist P (2010) Testing a new multivariate GNSS carrier phase attitude determination method for remote sensing platforms. Adv Space Res 46(2):118–129CrossRefGoogle Scholar
  3. Koch K (1999) Parameter estimation and hypothesis testing in linear models, 2nd edn. Springer, BerlinCrossRefGoogle Scholar
  4. Li B, Shen Y, Xu P (2008) Assessment of stochastic models for GPS measurements with different types of receivers. Chin Sci Bull 53:3219–3225Google Scholar
  5. Teunissen P (1995) The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation. J Geodes 70:65–82CrossRefGoogle Scholar
  6. Teunissen P (1998) Success probability of integer GPS ambiguity rounding and bootstrapping. J Geodes 72:606–612CrossRefGoogle Scholar
  7. Teunissen P (2006) Testing theory: an introduction. Series on mathematical geodesy and positioning, 2nd edn. Delft University Press, DelftGoogle Scholar
  8. Teunissen P (2010) Integer least-squares theory for the GNSS compass. J Geodes 84:433–447CrossRefGoogle Scholar
  9. Teunissen P (2012) A-PPP: array-aided precise point positioning with global navigation satellite systems. IEEE Trans Signal Process 60(6):2870–2881CrossRefGoogle Scholar
  10. Verhagen S, Li B, Teunissen PJG (2013) Ps-LAMBDA: ambiguity success rate evaluation software for interferometric applications. Comp Geosci 54:361–376CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.College of Surveying and Geo-InformaticsTongji UniversityShanghaiP.R. China
  2. 2.GNSS Research Center, Department of Spatial SciencesCurtin UniversityBentleyAustralia
  3. 3.GNSS Research Centre, Department of Spatial SciencesCurtin UniversityBentleyAustralia
  4. 4.Delft Institute of Earth Observation and Space Systems (DEOS)Delft University of TechnologyDelftThe Netherlands

Personalised recommendations