Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-04T21:24:02.632Z Has data issue: false hasContentIssue false
  • English
  • Français

Performance Assessment of Multi-GNSS Precise Velocity and Acceleration Determination over Antarctica

Published online by Cambridge University Press:  26 September 2018

Min Li ,
Karl-Hans Neumayer ,
Frank Flechtner ,
Biao Lu ,
Christoph Förste ,
Kaifei He Open the ORCID record for Kaifei He [Opens in a new window]  and
Tianhe Xu
Min Li*
Affiliation:
(GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany) (Department of Geodesy and Geoinformation Science, Technical University of Berlin, 10623 Berlin, Germany)
Karl-Hans Neumayer
Affiliation:
(GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany)
Frank Flechtner
Affiliation:
(GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany) (Department of Geodesy and Geoinformation Science, Technical University of Berlin, 10623 Berlin, Germany)
Biao Lu
Affiliation:
(GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany) (Department of Geodesy and Geoinformation Science, Technical University of Berlin, 10623 Berlin, Germany) (School of Geodesy and Geomatics, Wuhan University, 430072 Wuhan, PR China)
Christoph Förste
Affiliation:
(GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany)
Kaifei He
Affiliation:
(School of Geosciences, China University of Petroleum (East China), 266580 Qingdao, China)
Tianhe Xu
Affiliation:
(Institute of Space Science, Shandong University, 264209 Weihai, China)
*
(E-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

A conventional Differential GPS (DGPS) techniques-based velocity and acceleration method (named here as ‘DVA’) may be difficult to implement in the Antarctic as there is a sparse distribution of reference stations over Antarctica. Thus, in order to overcome the baseline limitations and to obtain highly accurate and reliable velocity and acceleration estimates for airborne gravimetry, a network-based velocity and acceleration determination approach (named here as ‘NVA’), which introduces a wide network of stations and is independent of precise clock information, is applied. Here its performance for velocity and acceleration determination is fully exploited by using Global Positioning System (GPS), GLONASS, Galileo and BeiDou observations. Additionally, a standalone receiver-based method named ‘SVA’, which requires precise clock information, is also implemented for comparison. During static tests and a flight experiment over Antarctica, it was found that the NVA method yields more robust results than the SVA and DVA methods when applied to a wide area network. Moreover, the addition of GLONASS, Galileo and BeiDou systems can increase the accuracy of velocity and acceleration estimates by 39% and 43% with NVA compared to a GPS-only solution.

Keywords

Network solutionStandalone receiverDGPSAntarcticaGPSGLONASSGalileoBeiDou
Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 1 , January 2019 , pp. 1 - 18
Copyright
Copyright © The Royal Institute of Navigation 2018 

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

ARL. (2017). The GPS Toolkit: GPSTk. (Online; October 4th, 2017). http://www.gpstk.org/Google Scholar
Cannon, M.E., Lachapelle, G., Szarmes, M.C., Hebert, J.M., Keith, J. and Jokerst, S. (1997). DGPS kinematic carrier phase signal simulation analysis for precise velocity and position determination. NAVIGATION, Journal of the Institute of Navigation, 44(2), 231–246.Google Scholar
Christian, K. and Guenter, W.H. (2003). GNSS based kinematic acceleration determination for airborne vector gravimetry-Methods and Results. ION GPS/GNSS 2003, Institute of Navigation, Portland, OR, USA, September 9-12, 2679–2691.Google Scholar
Defraigne, P., Bruyninx, C. and Guyennon, N. (2007). GLONASS and GPS PPP for time and frequency transfer. Proceedings of the EFTF 2007, Geneva, Switzerland, 29 May–1 June, 909–913.Google Scholar
Ding, W. and Wang, J. (2011). Precise velocity estimation with a stand-alone GPS receiver. The Journal of Navigation, 64(2), 311–325.Google Scholar
Fotopoulos, G. and Cannon, M.E. (2001). An overview of multi-reference station methods for cm-level positioning. GPS Solutions, 4(3), 1–10.Google Scholar
Ge, M., Gendt, G., Rothacher, M., Shi, C. and Liu, J. (2008). Resolution of GPS carrier-phase ambiguities in precise point positioning (PPP) with daily observations. Journal of Geodesy, 82(7), 389–399. doi:10.1007/s00190-007-0187-4Google Scholar
Geng, J.H., Shi, C., Ge, M.R., Dodson, A.H., Lou, Y.D., Zhao, Q.L. and Liu, J.N. (2012). Improving the estimation of fractional-cycle biases for ambiguity resolution in precise point positioning. Journal of Geodesy, 86(8), 579–589. doi:10.1007/s00190-011-0537-0Google Scholar
He, K., Xu, G., Xu, T. and Flechtner, F. (2016). GNSS navigation and positioning for the GEOHALO experiment in Italy. GPS Solutions, 20(2), 215–224.Google Scholar
Jekeli, C. (1994). On the computation of vehicle accelerations using GPS phase accelerations. Proceedings of the international symposium on kinematic systems in geodesy, Geomatics and Navigation (KIS94), Banff, Canada, 473–481.Google Scholar
Jekeli, C. and Garcia, R. (1997). GPS phase accelerations for moving-base vector gravimetry. Journal of Geodesy, 71(10), 630–639. doi:10.1007/s001900050130Google Scholar
Jiang, N., Xu, Y., Xu, T., Xu, G., Sun, Z. and Schuh, H. (2016) GPS/BDS short-term ISB modelling and prediction. GPS Solutions, 21(1), 163-175. doi:10.1007/s10291-015-0513-xGoogle Scholar
Jordan, T., Robinson, C., Olesen, A.V., Forsberg, R. and Matsuoka, K. (2016). PolarGap 2015/16: Filling the GOCE polar gap in Antarctica and ASIRAS radar flight for CryoSat support. Data acquisition report.Google Scholar
Kennedy, S. (2002a). Precise acceleration determination from carrier phase measurements. Proceedings of the 15th international technical meeting of the satellite division of the Institute of Navigation. ION GPS 2002, Portland, USA, 962–972.Google Scholar
Kennedy, S. (2002b). Acceleration estimation from GPS carrier phases for airborne gravimetry. Master's thesis. Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada report no. 20160Google Scholar
Koch, K.R. (1999). Parameter Estimation and Hypothesis Testing in Linear Models (Second, Updated and Enlarged Edition). Berlin: SpringerGoogle Scholar
Li, X., Ge, M., Dai, X., Ren, X., Fritsche, M., Wickert, J. and Schuh, H. (2015). Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. Journal of Geodesy, 89(6), 607–635.Google Scholar
Salazar, D., Manuel, H.P., Jose, M.J.Z., Jaume, S.S. and Angela, A.A. (2011). EVA: GPS-based extended velocity and acceleration determination. Journal of Geodesy, 85(6), 329–340. doi: 10.1007/s00190-010-0439-6Google Scholar
Serrano, L., Kim, D. and Langley, R.B. (2004). A single GPS receiver as a real-time, accurate velocity and acceleration sensor. Proceedings of the ION GNSS, The Institute of Navigation, Long Beach, California, September 21-24, 2021–2034.Google Scholar
Van Graas, F. and Soloviev, A. (2004). Precise velocity estimation using a stand-alone GPS receiver. NAVIGATION, 51(4), 283–292.Google Scholar
Xu, G. (2007). GPS: theory, algorithms and applications, 2nd Edn. Springer, New YorkGoogle Scholar
Xu, Y., Yang, Y. and Xu, G. (2012). Precise determination of GNSS trajectory in the Antarctica airborne kinematic positioning. Lecture Notes in Electrical Engineering – China Satellite Navigation Conference 2012. Proceedings, 159, 95–105.Google Scholar
Yang, Y., Li, J., Wang, A., Xu, J., He, H., Guo, H., Shen, J. and Dai, X. (2014). Preliminary assessment of the navigation and positioning performance of BeiDou regional navigation satellite system. Science China Earth Sciences, 57(1), 144–152.Google Scholar
Zhang, J.J. (2007). Precise velocity and acceleration determination using a standalone GPS receiver in real time. PhD Thesis, RMIT University, Melbourne, Australia.Google Scholar
Zhang, J.J., Zhang, K.F., Grenfell, R. and Deakin, R. (2008). On real-time high precision velocity determination for standalone GPS users. Survey Review, 40(310), 366–378.Google Scholar
Zhang, X.H. and Forsberg, R. (2007). Assessment of long-range kinematic GPS positioning errors by comparison with airborne laser altimetry and satellite altimetry. Journal of Geodesy, 81(3), 210–211. doi:10.1007/s00190-006-0100-6Google Scholar
Zheng, K. and Tang, L. (2016) Performance Assessment of BDS and GPS/BDS Velocity Estimation with Stand-alone Receiver. The Journal of Navigation, 69(4), 869–882. doi:10.1017/S0373463315000958Google Scholar