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Study on the influence of stochastic properties of correction terms on the reliability of instantaneous network RTK Cover

Study on the influence of stochastic properties of correction terms on the reliability of instantaneous network RTK

Open Access
|Mar 2014

References

  1. Al-Shaery A., Lim S., and Rizos C. (2010). Functional models of ordinary kriging for medium range real-time kinematic positioning based on Virtual Reference Station technique. Proceedings of the 23th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2010, 2513-2521.
  2. Al-Shaery A., Lim S., and Rizos C. (2011). Investigation of different interpolation models used in Network-RTK for the Virtual Reference Station technique. Journal of Global Positioning Systems, 10(2), 136-148.10.5081/jgps.10.2.136
  3. Bartels J. (1957). The technique of scaling indices K and Q of geomagnetic activity. Annales of the International Geophysical Year, 4, 215-226.
  4. Booz-Allen and Hamilton (1996). Second draft for-working group review, proposed European Baseline Radionavigation Plan, appendix b. Technical report, ICAO All- Weather Operations Panel.
  5. Chang X., Yang X., and Zhou T. (2005). MLAMBDA: a modified LAMBDA method for integer least-squares estimation. Journal of Geodesy, 79, 552-565.10.1007/s00190-005-0004-x
  6. Chen X., Landau H., and Vollath U. (2003). New tools for Network RTK integrity monitoring. Proceedings of the 16th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS/GNSS 2003, 1355-1360.
  7. Counselman C.C. and Abbot R. (1989). Method of resolving radio phase ambiguity in satellite orbit determination. Journal of Geophysical Research, 94(B6), 7058-7064.10.1029/JB094iB06p07058
  8. Dai L., Han S., Wang J., and Rizos C. (2004). Comparison of interpolation algorithms in network-based GPS techniques. Journal of the Institute of Navigation, 50(4), 277-294.10.1002/j.2161-4296.2003.tb00335.x
  9. Dai L., Wang J., Rizos C., and Han S. (2003). Predicting atmospheric biases for real-time ambiguity resolution in GPS/GLONASS reference station networks. Journal of Geodesy, 76, 617-628.10.1007/s00190-002-0286-1
  10. De Jonge P.J. and Tiberius C.C.J.M. (1996). The LAMBDA method for integer ambiguity estimation: implementation aspects. Technical report, Delft Geodetic Computing Centre, Delft University of Technology.
  11. Euler H.J. and Schaffrin B. (1991). On a measure for the discernability between different ambiguity solutions in static-kinematic GPS mode. IAG Symposia no. 107, Kinematic Systems in Geodesy, Surveying, and Remote Sensing, 285-295.10.1007/978-1-4612-3102-8_26
  12. Fotopoulos G. and Cannon M.E. (2001). An overview of multireference station methods for cm-level positioning. GPS Solutions, 4(3), 1-10. 1610.1007/PL00012849
  13. Gao Y., Li Z., and McLellan J.F. (1997). Carrier phase based regional area differential GPS for decimeter-level positioning and navigation. Proceedings of the 10th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS 1997, 1305-1313.
  14. Geisler I. (2006). Performance improvement of Network RTK positioning. Proceedings of the 2006 National Technical Meeting of The Institute of Navigation, 869-880.
  15. Grejner-Brzezinska D.A., Wielgosz P., Kashani I., Smith D.A., Spencer P.S.J., Robertson D.S., and Mader G.L. (2004). An analysis of the effects of different network-based ionosphere estimation models on rover positioning accuracy. Journal of Global Positioning Systems, 3(1-2), 115-131.10.5081/jgps.3.1.115
  16. Han S. (1997). Quality-control issues relating to instantaneous ambiguity resolution for real-time GPS kinematic positioning. Journal of Geodesy, 71, 351-361.10.1007/s001900050103
  17. Han S. and Rizos C. (1996). GPS network design and error mitigation for real-time continuous array monitoring systems. Proceedings of the 9th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS 1996, 1827-1836.
  18. Han S. and Rizos C. (1997). Instantaneous ambiguity resolution for medium-range GPS kinematic positioning using multiple reference stations. Proceedings of the International Association of Geodesy Symposia, 118, Advances in Positioning and Reference Frames, 283-288.
  19. Hein G.W. (2000). From GPS and GLONASS via EGNOS to Galileo - positioning and navigation in the third millennium. GPS Solutions, 3(4), 39-47.10.1007/PL00012814
  20. Hofmann-Wellenhof B., Lichtenegger H., and Wasle E. (2008). GNSS Global Navigation Satellite Systems: GPS, GLONASS, Galileo & more. Springer-Verlag, Wien.
  21. Lachapelle G. and Alves P. (2002). Multiple reference station approach: overview and current research. Journal of Global Positioning Systems, 1(2), 133-136.10.5081/jgps.1.2.133
  22. Landau H., Chen X., Kipka A., and Vollath U. (2007). Latest developments in Network RTK modeling to support GNSS modernization. Journal of Global Positioning Systems, 6(1), 47-55.10.5081/jgps.6.1.47
  23. Landau H., Vollath U., and Chen X. (2003). Virtual Reference Stations versus broadcast solutions in Network RTK - advantages and limitations. Proceedings of GNSS 2003 The European Navigation Conference, Graz, Austria.
  24. Marel van der H. (1998). Virtual GPS reference stations in the Netherlands. Proceedings of the 11th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS 1998, 49-58.
  25. Musa T.A., Wang J., and Rizos C. (2004). A stochastic modelling method for network-based GPS positioning. European Navigation Conference, ECN GNSS2004.
  26. Musa T.A., Wang J., Rizos C., and Satirapod C. (2003). Stochastic modelling for networkbased GPS positioning. The 6th International Symposium on Satellite Navigation Technology Including Mobile Positioning and Location Serivces, Melbourne, Australia.
  27. Odijk D. (2000). Weighting ionospheric corrections to improve fast GPS positioning over medium distances. Proceedings of the 13th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS 2000, 1113-1123.
  28. Odijk D. (2001). Instantaneous precise GPS positioning under geomegnetic storm conditions. GPS Solutions, 5(2), 29-42.10.1007/PL00012884
  29. Odijk D. (2008). GNSS solutions: mathematical models. Inside GNSS, 3(2), 22-24.
  30. Odijk D., Marel van der H., and Song I. (2000). Precise GPS positioning by applying ionospheric corrections from an active control network. GPS Solutions, 3(3), 49-57. 1710.1007/PL00012804
  31. O’Keefe K., Petovello M., Lachapelle G., and Cannon M.E. (2006). Assessing probability of correct ambiguity resolution in the presence of time-correlated errors. Navigation: Journal of the Institute of Navigation, 53(4), 269-282.10.1002/j.2161-4296.2006.tb00389.x
  32. Próchniewicz D. (2011). A study on mitigation of the distance-dependent biases in the Network RTK technique. Reports on Geodesy, 90(1), 397-407.
  33. Raquet J.F. (1998). Development of a method for kinematic GPS carrier-phase ambiguity resolution using multiple reference receivers. Ph.D. thesis, The University of Calgary.
  34. Rizos C. (2002). Network RTK research and implementation - a geodetic perspective. Journal of Global Positioning Systems, 1(2), 144-150.10.5081/jgps.1.2.144
  35. Rizos C. and Han S. (2003). Reference station network based RTK systems - concepts and progress. Wuhan University Journal of natural Sciences, 8(2B), 566-574.10.1007/BF02899820
  36. Seeber G. (2003). Satellite Geodesy: foundations, methods, and applications. Walter de Gruyter, Berlin, New York, 2nd completely rev. and extended edition.
  37. Takasu T. and Yasuda A. (2010). Kalman-filter-based integer ambiguity resolution strategy for long-baseline RTK with ionosphere and troposphere estimation. Proceedings of the 23rd International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2010, 161-171.
  38. Teunissen P.J.G. (1993). Least squares estimation of the integer GPS ambiguities. Invited lecture, Section IV Theory and Methodology, IAG General Meeting, Beijing.
  39. Teunissen P.J.G. (1995). The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation. Journal of Geodesy, 70, 65-82.10.1007/BF00863419
  40. Teunissen P.J.G. (1997). The geometry-free GPS ambiguity search space with a weighted ionosphere. Journal of Geodesy, 71, 730-383.10.1007/s001900050105
  41. Teunissen P.J.G. (1998). Success probability of integer GPS ambiguity rounding and bootstrapping. Journal of Geodesy, 72, 606-612.10.1007/s001900050199
  42. Tiberius C.C.J.M. and De Jonge P.J. (1995). Fast positioning using LAMBDA-method. Proceedings of the 4th International Symposium on Differential Satellite Navigation Systems, DSNS 1995(paper no. 30).
  43. Tiberius C.C.J.M., Jonkman N., and Kenselaar F. (1999). The stochastics of GPS observables. GPS World, 10(2), 49-54.
  44. Tiberius C.C.J.M., Teunissen P.J.G., and De Jonge P.J. (1997). Kinematic GPS: performance and quality control. Int. Symp. on Kinematic Systems in Geodesy, Geomatics & Navigation, Banff, Canada, KIS1997, 289-299.
  45. Verhagen S. (2004). Integer ambiguity validation: an open problem? GPS Solutions, 8, 36-43.10.1007/s10291-004-0087-5
  46. Verhagen S. (2005). The GNSS integer ambiguities: estimation and validation. Ph.D. thesis, Netherlands Geodetic Commission, Delft.10.54419/d0mifg
  47. Verhagen S., Li B., Teunissen P.J.G., and Tiberius C.C.J.M. (2012). Challenges in ambiguity resolution: biases, weak models, and dimensional curse. Proceedings of 6th ESA Workshop on Satellite Navigation Technologies, NAVITEC 2012, 1-8.10.1109/NAVITEC.2012.6423075
  48. Wang J., Lee H.K., Lee Y.J., Musa T., and Rizos C. (2005). Online stochastic modelling for network-based GPS real-time kinematic positioning. Journal of Global Positioning Systems, 4(1-2), 113-119.10.5081/jgps.4.1.113
  49. Wanninger L. (1995). Enhancing differential GPS using regional ionospheric error models. Bulletin G´eod´esique, 69, 283-291.10.1007/BF00806740
  50. Wanninger L. (2004). Ionospheric disturbance indices for RTK and Network RTK positioning. Proceedings of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004, 2849-2854. 18
  51. Wielgosz P., Grejner-Brzezinska D.A., and Kashani I. (2003). Regional ionosphere mapping with kriging and multiquadric methods. Journal of Global Positioning Systems, 2(1), 48-55.10.5081/jgps.2.1.48
  52. Wielgosz P., Kashani I., and Grejner-Brzezinska D. (2005). Analysis of long-range network RTK during a severe ionospheric storm. Journal of Geodesy, 79, 524-53110.1007/s00190-005-0003-y
DOI: https://doi.org/10.2478/arsa-2014-0001 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
Language: English
Page range: 1 - 19
Published on: Mar 25, 2014
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2014 Dominik Próchniewicz, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons License.