Improving the Stochastic Model for VRS Network-Based GNSS Surveying

Al-Shaery, A., Lim, S., & Rizos, C. (2011) Investigation of Different Interpolation Models Used in Network-RTK for the Virtual Reference Station Technique. Journal of Global Positioning Systems, 10, 136-148.10.5081/jgps.10.2.136Search in Google Scholar

Charoenkalunyuta, T., Satirapod, C., Li Y. and Rizos, C. (2012) An investigation of the effect of Ionospheric models on the performance of Network-based RTK GPS in Thailand. International Journal of Geoinformatics, 8(4), 61-66Search in Google Scholar

Chen, H.Y., Rizos, C. and Han S., (2004) An instantaneous ambiguity resolution procedure suitable for medium-scale GPS reference station networks. Survey Review, 37(291), 396-410Search in Google Scholar

De Jonge, P. and Tiberius C. (1995) The LAMBDA method for integer ambiguity estimation: implementation aspects. Publications of the Delft Computing Centre, LGR-Series 12 (12), 1-47Search in Google Scholar

Jongrujinan, T. and Satirapod. C. (2018) Study on the stochastic model for VRS network-based GNSS positioning, Proceedings of ITC CSCC 2018, July 4-7, Bangkok, Thailand, paper 124.Search in Google Scholar

Landau, H. and Euler, H.J. (1992) On-the-Fly Ambiguity Resolution for Precise Differential Positioning. Proc. of 5^th Int. Tech. Meeting of the Satellite Division of the Institute of Navigation, Salt Lake City, Utah, 19-22 September, 1165-1171.Search in Google Scholar

Luo, X., Mayer, M., Heck, B., and Awange, J. (2014) A Realistic and Easy-to-Implement Weighting Model for GPS Phase Observations. IEEE Transactions on Geoscience and Remote sensing, 52(10), 6110-611810.1109/TGRS.2013.2294946Search in Google Scholar

Musa, T. A., Wang, J., Rizos, C., and Satirapod, C. (2003) Stochastic Modeling for Network-based GPS Positioning. The 6th International Symposium on Satellite Navigation Technology Including Mobile Positioning & Location Services, 22-25 July 2003 Melbourne, AustraliaSearch in Google Scholar

Odijk, D., (2000) Weighting Ionospheric Corrections to Improve Fast GPS Positioning Over Medium Distances. The ION GPS 2000, 19-22 September 2000, Salt Lake City, Utah, USA.Search in Google Scholar

Prochniewicz, D., Szpunar, R., & Brzezinski, A. (2016) Network-Based Stochastic Model for Instantaneous GNSS Real-Time Kinematic Positioning. Journal of Surveying Engineering, 142(4)10.1061/(ASCE)SU.1943-5428.0000188Search in Google Scholar

Rao, C. R. (1971) Estimation of variance and covariance components-MINQUE theory. Journal of Multivariate Analysis, 1(3), 257-275.10.1016/0047-259X(71)90001-7Search in Google Scholar

Satirapod, C., Wang, J., and Rizos, C. (2001) A New Stochastic Modelling Procedure for Precise Static GPS Positioning. Zeitschrift für Vermessungswesen, 126(6), 365-373.Search in Google Scholar

Satirapod, C., Wang, J. and Rizos, C. (2002) A simplified MINQUE procedure for the estimation of variance-covariance components of GPS observables. Survey Review, 35(286), 582-590.10.1179/sre.2002.36.286.582Search in Google Scholar