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First Preliminary Fast Static Ambiguity Resolution Results of Medium-Baseline with Triple-Frequency Beidou Wavebands

Published online by Cambridge University Press:  28 May 2014

Shengyue Ji ,
Xiaolong Wang ,
Ying Xu ,
Zhenjie Wang ,
Wu Chen  and
Hui Liu
Shengyue Ji
Affiliation:
(China University of Petroleum, Qingdao, China) (The Hong Kong Polytechnic University, Hong Kong)
Xiaolong Wang
Affiliation:
(China University of Petroleum, Qingdao, China)
Ying Xu*
Affiliation:
(The Hong Kong Polytechnic University, Hong Kong)
Zhenjie Wang
Affiliation:
(China University of Petroleum, Qingdao, China)
Wu Chen
Affiliation:
(The Hong Kong Polytechnic University, Hong Kong)
Hui Liu
Affiliation:
(Wuhan University, Wuhan, China)
*
(E-mail: xu.xu@connect.polyu.hk)
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Abstract

Fast high precision relative Global Navigation Satellite System (GNSS) positioning is very important to various applications and ambiguity resolution is a key requirement. It has been a continuing challenge to determine and fix GNSS carrier-phase ambiguity, especially for medium- and long-distance baselines. In past research, with dual-frequency band Global Positioning System (GPS), it is almost impossible for fast ambiguity resolution of medium- and long-distance baselines mainly due to the ionospheric and tropospheric effects. With the launch of the BeiDou system, triple-frequency band GNSS observations are available for the first time. This research aims to test the ambiguity resolution performance with BeiDou triple-frequency band observations. In this research, two mathematical models are compared: zenith tropospheric delay as an unknown parameter versus corrected tropospheric delay. The ambiguity resolution performance is investigated in detail with BeiDou observations. Different distance baselines are tested: 45 km, 70 km and 100 km and the performances are investigated with different elevation cut-off angles. Also the performance with BeiDou alone and combined BeiDou and GPS are compared. Experimental results clearly show that with practical observations of triple-frequency bands, ambiguity of medium- or long-distance baselines can be fixed. The results also show that: the performance of ambiguity resolution with an elevation cutoff angle of 20° is much better than that of 15°; The performance with tropospheric effect corrected is slightly better than that with tropospheric effect as an estimated parameter; Dual-frequency band GPS observations will benefit ambiguity resolution of integrated BeiDou and GPS.

Keywords

BeiDouAmbiguity resolutionMedium- and long-distance baselinesIonosphereTroposphere
Type
Research Article
Information
The Journal of Navigation , Volume 67 , Issue 6 , November 2014 , pp. 1109 - 1119
Copyright
Copyright © The Royal Institute of Navigation 2014 

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References

REFERENCES

Ahn, Y.W, Lachapele, G., Skone, S., Gutman, S. and Sahm, S. (2006). Analysis of GPS RTK performance using external NOAA tropospheric corrections integrated with a multiple reference station approach. GPS Solutions, 10, 171–186.Google Scholar
Andrei, C.O. and Chen, R.Z. (2009). Assessment of time-series of troposphere zenith delays derived from the global data assimilation system numerical weather model. GPS Solutions, 13, 109–117.CrossRefGoogle Scholar
BDS. (2012). BeiDou navigation satellite system signal in space interface control document: open service signal B1I (verstion 1.0). http://www.beidou.gov.cn/attach/2013/12/26/2013122604a521b35b7f4a54b44cfbbc8abd74a8.pdfGoogle Scholar
Böhm, J., Hobiger, T., Ichikawa, R., Kondo, T., Koyama, Y., Pany, A., Schuh, H. and Teke, K. (2010). Asymmetric tropospheric delays from numerical weather models for UT1 determination from VLBI intensive sessions on the baseline Wettzell-Tsukuba. Journal of Geodesy, 84, 319–325.CrossRefGoogle Scholar
Byun., S.H. and Bar-Sever, Y.E. (2009). A new type of troposphere zenith path delay product of the International GNSS service. Journal of Geodesy, 83, 367–373.CrossRefGoogle Scholar
Cheng, P., Wen, H., Cheng, Y. and Wang, H. (2009). China Geodetic Coordinate System 2000. 18th United Nations Regional Cartographic Conference for Asia and the Pacific Bangkok, 26–29 October, 2009.Google Scholar
Cheng, P.F., Li, W. and Mi, J.Z. (2013). Precision analysis of BeiDou range measurement signals. Acta Geodaetica et Cartographica Sinica, 41(5), 690–695.Google Scholar
Dong, S., Li, X. and Wu, H. (2007). About COMPASS time and its coordination with other GNSSs. 39th Annual Precise Time and Time Interval (PTTI) Meeting, 26–29 November, 2007.Google Scholar
Euler, H., Schaffrin, B. (1991). On a measure for the discernibility between different ambiguity solutions in the static-kinematic GPS-mode. IAG Symposia No. 107, Kinematic Systems in Geodesy, Surveying, and Remote Sensing, Springer-Verlag, New York, 285–295.Google Scholar
Fu, E. (2008). Assessing space-based GNSS technology for meteorological studies in Australia. ION GNSS 21st. International Technical Meeting of the Satellite Division, 16–19 September 2008, Savannah, GA.Google Scholar
Ghoddousi-Fard, R., Dare, P. and Langley, R. (2009). Tropospheric delay gradients from numerical weather prediction models: effect on GPS estimated parameters. GPS Solutions, 13, 281–291.Google Scholar
Gutman, S. and Benjamin, S. (2001). The role of ground-based GPS meteorological observations in numerical weather prediction. GPS Solutions, 4(4), 16–24.CrossRefGoogle Scholar
Hopfield, H. (1969). Two-quartic tropospheric refractivity profile for correcting satellite data. Journal of Geophysics Research, 74(18), 4487–4499.CrossRefGoogle Scholar
Hopfield, H. (1970). Tropospheric effect on electromagnetically measured ranges: prediction from surface weather data. Applied Physics Laboratory, Johns Hopkins Univeristy, Baltimore, MD, July 1970.Google Scholar
Hopfield, H. (1972). Tropospheric range error parameters – further studies. Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, June 1972.Google Scholar
Ibrahim, H.E. and El-Rabbany, A. (2009). Assessment and implementation of NOAA NWP-based tropospheric correction model. Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference, 316–321.Google Scholar
Jensen, A. and Ovstedal, O. (2008) The effect of different tropospheric models on precise point positioning in kinematic mode. Survey Review, 40(308), 173–187.Google Scholar
Ji, S.Y., Chen, W., Ding, X.L., Chen, Y.Q., Zhao, C.M. and Hu, C.W. (2010). Ambiguity validation with combined ratio test and ellipsoidal integer aperture estimator. Journal of Geodesy, 84, 597–604.CrossRefGoogle Scholar
Leick, A. (2004). GPS Satellite Surveying, 3rd edition. John Wiley and Sons, New York.Google Scholar
Parkinson, B. and Spilker, J.J. (1996). GPS: theory and applications, Volumes 1 and 2. AIAA, Washington, DC.Google Scholar
RINEX 3.02 .(2013). ftp://igscb.jpl.nasa.gov/igscb/data/format/rinex302.pdf.Google Scholar
Saastamoinen, J. (1972). Contributions to the Theory of Atmospheric Refraction. Bulletin Geodesique, 105(1), 279–98.Google Scholar
Saastamoinen, J. (1973). Contributions to the Theory of Atmospheric Refraction. Bulletin Geodesique, 107(1), 13–34.CrossRefGoogle Scholar
Schüler, T. (2006). Impact of systematic errors on precise long-baseline kinematic GPS positioning. GPS Solutions, 10(2), 108–25.Google Scholar
Teunissen, P. (1995). The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation. Journal of Geodesy, 70(1–2), 65–82.Google Scholar
Wang, J., Stewart, M.P. and Tsakiri, M. (1998). A discrimination test procedure for ambiguity resolution on the fly, Journal of Geodesy, 72(11), 644–653.CrossRefGoogle Scholar
Wang, J., Stewart, M.P. and Tsakiri, M. (2000). A comparative study of the integer ambiguity validation procedures. Earth, Planets & Space, 52(10), 813–817.CrossRefGoogle Scholar
Wei, Z. (2008). China geodetic coordinate system 2000 and its comparison with WGS84. Journal of Geodesy and Geodynamics, 28(5), 1–5.Google Scholar
Wielgosz, P., Cellmer, S., Rzepecka, Z. and Grejner-Brzezinska, D.A. (2008). Troposphere modelling for precise GPS rapid static positioning in mountainous areas. ION GNSS 21st. International Technical Meeting of the Satellite Division, 16–19 September 2008, Savannah, GA.Google Scholar
Xu, G. (2003). GPS theory, algorithms and applications. Springer, Berlin.Google Scholar