Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-23T22:38:07.110Z Has data issue: false hasContentIssue false

Accounting for Inter-System Bias in DGNSS Positioning with GPS/GLONASS/BDS/Galileo

Published online by Cambridge University Press:  01 February 2017

Hui Liu
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Bao Shu*
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Longwei Xu
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Chuang Qian
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Rufei Zhang
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Ming Zhang
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
*

Abstract

Code Differential Global Positioning System (DGPS) is widely used in satellite navigation and positioning because of its simple algorithm and preferable precision. Multi-Global Navigation Satellite System (GNSS) is expected to enhance the accuracy, reliability and availability of Differential GNSS (DGNSS) positioning. Traditional DGNSS models should set separate clock parameters due to the clock differences between the different systems. Awareness of the Inter-System Bias (ISB) could help to maximise the redundancy of the positioning model, thus improving the performance of multi-GNSS positioning. This paper aims to examine the inter-system bias of GPS/GLONASS/BeiDou (BDS)/Galileo and their benefits in DGNSS positioning. Results show that Differential ISB (DISB) characteristics vary with different receiver types and systems. The size of DISB could reach metre-level and the precision of estimated DISBs can reach approximately several centimetres within tens of epochs. Therefore, a new real-time DGNSS model that accounts for ISB is proposed. After differential ISBs are initialised, positioning with four satellites from arbitrarily the same or different systems can be realised. Moreover, compared with the traditional DGNSS model, the precision of the positioning results with the new model are obviously improved, especially in harsh environments.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ashkenazi, V., Hill, C.J., Ochieng, W.Y. and Nagle, J. (1993). Wide-Area Differential GPS: A Performance Study. Navigation, 40(3), 297319.Google Scholar
Cai, C. and Gao, Y. (2009). A Combined GPS/GLONASS Navigation Algorithm for use with Limited Satellite Visibility. Journal of Navigation, 62(4), 671685.Google Scholar
Dalla Torre, A. and Caporali, A. (2015). An analysis of intersystem biases for multi-GNSS positioning. GPS Solutions, 19(2), 297307.Google Scholar
Deng, C., Tang, W., Liu, J. and Shi, C. (2014). Reliable single-epoch ambiguity resolution for short baselines using combined GPS/BeiDou system. GPS Solutions, 18(3), 375386.CrossRefGoogle Scholar
He, H., Li, J., Yang, Y., Xu, J., Guo, H. and Wang, A. (2014). Performance assessment of single-and dual-frequency BeiDou/GPS single-epoch kinematic positioning. GPS Solutions, 18(3), 393403.CrossRefGoogle Scholar
Kremer, G.T., Kalafus, R.M., Loomis, P.V. and Reynolds, J.C. (1990). The effect of selective availability on differential GPS corrections. Navigation, 37(1), 3952.Google Scholar
Montenbruck, O., Hauschild, A. and Hessels, U. (2011). Characterization of GPS/GIOVE Sensor Stations in the CONGO Network. GPS Solutions, 15(3), 193205.Google Scholar
Odolinski, R., Teunissen, P.J.G. and Odijk, D. (2014). Combined BDS, Galileo, QZSS and GPS single-frequency RTK. GPS Solutions, 19(1), 151163.Google Scholar
Odijk, D. and Teunissen, P.J.G. (2013). Characterization of between-receiver GPS-Galileo inter-system biases and their effect on mixed ambiguity resolution. GPS Solutions, 17(4), 521533.Google Scholar
Paziewski, J. and Wielgosz, P. (2014). Accounting for Galileo-GPS inter-system biases in precise satellite positioning. Journal of Geodesy, 89(1), 8193.Google Scholar
Shi, C., Zhao, Q., Hu, Z. and Liu, J. (2013). Precise relative positioning using real tracking data from COMPASS GEO and IGSO satellites. GPS Solutions, 17(1), 103119.CrossRefGoogle Scholar
Schaer, S. (1999). Mapping and predicting the Earth's ionosphere using the Global Positioning System. Geod.-Geophys. Arb. Schweiz, 59, 59.Google Scholar
Sardón, E. and Zarraoa, N. (1997). Estimation of total electron content using GPS data: How stable are the differential satellite and receiver instrumental biases? Radio Science, 32(5), 18991910.CrossRefGoogle Scholar
Soon, B.K., Scheding, S., Lee, H.K., Lee, H.K. and Durrant-Whyte, H. (2008). An approach to aid INS using time-differenced GPS carrier phase (TDCP) measurements. GPS Solutions, 12(4), 261271.Google Scholar
Tien Bui, D., Tran, C.T., Pradhan, B., Revhaug, I. and Seidu, R. (2015). iGeoTrans–a novel iOS application for GPS positioning in geosciences. Geocarto International, 30(2), 202217.Google Scholar
Wanninger, L. (2012). Carrier-phase inter-frequency biases of GLONASS receivers. Journal of Geodesy, 86(2), 139148.Google Scholar
Yamada, H., Takasu, T., Kubo, N. and Yasuda, A. (2010, September). Evaluation and calibration of receiver inter-channel biases for RTK-GPS/GLONASS. Proceedings of ION GNSS, 15801587.Google Scholar
Zhang, W., Cannon, M.E., Julien, O. and Alves, P. (2003). Investigation of combined GPS/GALILEO cascading ambiguity resolution schemes. Proceedings of ION GPS/GNSS, 25992610.Google Scholar
Zinoviev, A.E. (2005). Using GLONASS in combined GNSS receivers: current status. Proceedings of ION GNSS, 10461057.Google Scholar