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A New Ambiguity Resolution Method for PPP Using CORS Network and its Real-time Realization

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China Satellite Navigation Conference (CSNC) 2012 Proceedings

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 160))

Abstract

The aim of this article is to improve the method of network RTK based on undifferenced (UD) observation corrections (abbreviated as URTK hereafter) by modeling the code UD observation residual. Thus rover could obtain more accurate approximate coordinate by code Single Point Positioning (SPP), and then, speeding up the ambiguity convergence time. In addition, based on the improved URTK method, a three-step method for single-differenced (SD) ambiguity resolution of rover is proposed, which could solve the ionosphere-free (LC) ambiguities in several seconds. Lastly, based on the existing network RTK software and the real-time data stream simulator, the efficiency of our new methods have been proved with a real-time test. The results show that rover could gain rapid, cm-level and real-time Precise Point Positioning (PPP) service using CORS network.

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Acknowledgments

This work is supported by the Open Foundation of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (Grant No. 11P01), the National Natural Science Foundation of China (Grant No. 41004014) and the China Postdoctoral Science Foundation (Grant No. 20110491191).

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Correspondence to Xuan Zou .

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© 2012 Springer-Verlag Berlin Heidelberg

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Zou, X., Tang, W., Shi, C., Liu, J. (2012). A New Ambiguity Resolution Method for PPP Using CORS Network and its Real-time Realization. In: Sun, J., Liu, J., Yang, Y., Fan, S. (eds) China Satellite Navigation Conference (CSNC) 2012 Proceedings. Lecture Notes in Electrical Engineering, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29175-3_15

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  • DOI: https://doi.org/10.1007/978-3-642-29175-3_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29174-6

  • Online ISBN: 978-3-642-29175-3

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