Abstract
Virtual Reference Station (VRS) is a kind of network RTK technology. For solving the limitations of real-time standard dynamic (RTK) system, a new method for high-precision RTK positioning VRS is proposed. At the same time, aiming at the real-time solution of the ambiguity of VRS network, a new method based on the non-ionospheric combination equation to solve the ambiguity is proposed. The linear interpolation model is used to generate the comprehensive error correction number, and the virtual observation value is proposed. The method was generated and tested in Nanchang University and Poyang Lake area. The test was conducted at different locations around Poyang Lake to assess the accuracy of VRS RTK positioning; the results show that the use of multiple reference station networks increases the coverage of location service areas and enhances robustness over a single reference station system, got higher positioning accuracy. The VRS RTK is positioned in the experimental network with a horizontal accuracy of 1–2 cm and a vertical accuracy of 3–5 cm.
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References
Hu, G.R., Khoo, H.S., Goh, P.C., et al.: Development and assessment of GPS VRS for RTK positioning. J. Geodesy. 77(5–6), 292–302 (2003)
Chen, H.Y., Rizos, C., Han, S.: From simulation to implementation: low-cost densification of permanent GPS networks in support of geodetic applications. J. Geodesy. 75(9–10), 515–526 (2001)
Sun, H., Cannon, M.E., Melgard, T.E.: Real-time GPS reference network carrier phase ambiguity resolution. In: Proceedings of network Navigation national technical meeting[J].January, San Diego, CA, USA, 25–27 1999, 193–199 (1999)
Zhang, J., Lachapelle, G.: Precise estimation of residual tropospheric delays using a regional GPS network for real-time kinematic applications. J. Geodesy. 7(5–6), 255–266 (2001)
Edwards, S.J., Cross, P.A., Barnes, J.B., et al.: A methodology for benchmarking real-time kinematic GPS. Surv. Rev. 35(273), 163–174 (1999)
Hu, G.R., Ou, J.K.: The improved method of adaptive Kalman filter for GPS high kinematic positioning. Acta Geodaetica et Cartographic Sinica 28(4), 290–294 (1999)
Chen, D., Lachapelle, G.: A comparison of the fast and least squares search algorithms for on-the-fly ambiguity resolution. Navigation 42(2), 371–390 (1995)
Wanninger, L.: Improved ambiguity resolution by regional differential modelling of the ionosphere. In: Proceedings 8th International Technical Meeting Satellite Division US Inst Navigation, Palm Springs, CA, pp. 55–62 (1995)
Han, S.W., Rizos, C.: GPS network design and error mitigation for real-time continuous array monitoring system. In: Proceedings 9th International Technical Meeting Satellite Division US Institution Navigation, Kansas City, MO, pp. 1827–1836 (1996)
Talbot, N.C.: Compact data transmission standard for highprecision GPS. In: Proceedings 9th International Technical Meeting Satellite Division US Institution Navigation, Kansas City, MO, pp. 861–871 (1996)
Mervart, L., Weber, G.: Real-time combination of GNSS orbit and clock correction streams using a kalman filter approach. In: Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, pp. 707–711 (2011)
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The paper was supported by the projects of the National Natural Science Foundation of China (No. 41764002).
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Wang, Z., Guo, H., Wang, H., Yu, M., Chen, X. (2021). Application of GNSS Virtual Reference Station in Poyang Lake Area. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_25
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DOI: https://doi.org/10.1007/978-3-030-82562-1_25
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