Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-29T17:21:40.719Z Has data issue: false hasContentIssue false
  • English
  • Français

A New Cycle Slip Detection and Repair Method for Single-Frequency GNSS Data

Published online by Cambridge University Press:  09 May 2018

Qusen Chen ,
Hua Chen ,
Weiping Jiang ,
Xiaohui Zhou  and
Peng Yuan
Qusen Chen
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, Wuhan, China) (Nottingham Geospatial Institute/Sino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham NG7 2TU, UK)
Hua Chen*
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, Wuhan, China)
Weiping Jiang
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Xiaohui Zhou
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, Wuhan, China)
Peng Yuan
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
*
(E-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Cycle slip detection for single frequency Global Navigation Satellite System (GNSS) data is currently mainly based on measurement modelling or prediction, which cannot be effectively performed for kinematic applications and it is difficult to detect or repair small cycle slips such as half-cycle slips. In this paper, a new method that is based on the total differential of ambiguity and Least-Squares Adjustment (LSA) for cycle slip detection and repair is introduced and validated. This method utilises only carrier-phase observations to build an ambiguity function. LSA is then conducted for detecting and repairing cycle slips, where the coordinate and cycle slips are obtained successively. The performance of this method is assessed through processing short and long baselines in static and kinematic modes and the impact of linearization and atmospheric errors are analysed at the same time under a controlled variable method. The results indicate this method is very effective and reliable in detecting and repairing multiple cycle slips, especially small cycle slips.

Keywords

Cycle slipDetection and repairSingle-frequencyGNSS
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 6 , November 2018 , pp. 1492 - 1510
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

Banville, S. and Langley, R.B. (2013). Mitigating the impact of ionospheric cycle slips in GNSS observations. Journal of Geodesy, 87(2), 179–193.Google Scholar
Bellone, T., Dabove, P., Manzino., A.M. and Taglioretti, C. (2016). Real-time monitoring for fast deformations using GNSS low-cost receivers. Geomatics, Natural Hazards and Risk, 7(2), 458–470.Google Scholar
Blewitt, G. (1989). Carrier phase ambiguity resolution for the Global Positioning System applied to geodetic baselines up to 2000 km. Journal of Geophysical Research: Solid Earth, 94(B8), 10187–10203.Google Scholar
Blewitt, G. (1990). An automatic editing algorithm for GPS data. Geophysical Research Letters, 17(3), 199–202.Google Scholar
Carcanague, S. (2012). Real-time geometry-based cycle slip resolution technique for single-frequency PPP and RTK. ION GNSS 2012, Proceedings of the 25th International Technical Meeting of The Satellite Division of the Institute of Navigation. Nashville, United States, September 2012, 1136–1148Google Scholar
Chen, D.Z., Ye, S.R., Zhou, W., Liu, Y.Y., Jiang, P., Tang, W.M., Yuan, B. and Zhao, L.W. (2016). A double-differenced cycle slip detection and repair method for GNSS CORS network. GPS Solutions, 20(3), 439–450.Google Scholar
Collin, F. and Warnant, R. (1995). Application of the wavelet transform for GPS cycle slip correction and comparison with Kalman filter. Manuscripta Geodaetica, 20, 161–172.Google Scholar
Cramer, M., Stallmann, D. and Haala, N. (2000). Direct georeferencing using GPS/inertial exterior orientations for photogrammetric applications. International Archives of Photogrammetry and Remote Sensing, 33(B3/1; PART 3), 198–205.Google Scholar
De Lacy, M.C., Reguzzoni, M., Sansò, F. and Venuti, G. (2008). The Bayesian detection of discontinuities in a polynomial regression and its application to the cycle-slip problem. Journal of Geodesy, 82(9), 527–542.Google Scholar
Dingfa, H. and Jiancheng, Z. (1997). Wavelet Analysis for Cycle Slip Detection And Reconstruction of GPS Carrier Phase Measurements. Acta Geodaetica et Cartographica Sinica, 26(4), 353–359.Google Scholar
Geng, J.H., Meng, X.L., Dodson, A.H., Ge, M.R. and Teferle, F.N. (2010). Rapid re-convergences to ambiguity-fixed solutions in precise point positioning. Journal of Geodesy, 84(12), 705–714.Google Scholar
Genyou, L. (2001). Real-time positioning algorithm with single frequency GPS phase and pseudo-range and detection of cycle slip. Crustal Deformation and Earthquakes, 3, 004.Google Scholar
Kirkko-Jaakkola, M., Traugott, J., Odijk, D., Collin, J., Sacs, G. and Holzapfel, F. (2009). A RAIM approach to GNSS outlier and cycle slip detection using L1 carrier phase time-differences. IEEE Workshop on Signal Processing Systems, SiPS.Google Scholar
Li, X.X., Zus, F., Lu, C.X., Dick, G., Ning, T., Ge, M.R., Wickert, J. and Schuh, H. (2015a). Retrieving of atmospheric parameters from multi-GNSS in real time: validation with water vapor radiometer and numerical weather model. Journal of Geophysical Research: Atmospheres, 120(14), 7189–7204.Google Scholar
Li, X.X., Ge, M.R., Zhang, H.P., Nischan, T. and Wickert, J. (2013). The GFZ real-time GNSS precise positioning service system and its adaption for COMPASS. Advances in Space Research, 51(6), 1008–1018.Google Scholar
Li, X.X., Ge, M.R., Dai, X.L., Ren, X.D., Fritsche, M., Wickert, J. and Schuh, H. (2015b). Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. Journal of Geodesy, 89(6), 607–635.Google Scholar
Lin, S.G. and Yu, F.C. (2013). Cycle slips detection algorithm for low cost single frequency GPS RTK positioning. Survey Review, 45(330), 206–214.Google Scholar
Liu, Z. (2011). A new automated cycle slip detection and repair method for a single dual-frequency GPS receiver. Journal of Geodesy, 85(3), 171–183.Google Scholar
Meng, X.L., Roberts, G.W., Dodson, A.H., Ince, S. and Waugh, S. (2006). GNSS for structural deformation and deflection monitoring: implementation and data analysis. 12 th FIG Spectrum, Baden, 22–24 May 2006.Google Scholar
Pinchin, J., Hide, C., Park, D. and Chen, X.Q. (2008). Precise kinematic positioning using single frequency GPS receivers and an integer ambiguity constraint. 2008 IEEE/ION Position, Location and Navigation Symposium, IEEE. Monterey, CA, USA.Google Scholar
Ren, Z.F., Li, L.Y., Zhong, J., Zhao, M.J. and Shen, Y.J. (2011). A real-time cycle-slip detection and repair method for single frequency GPS receiver. 2ndInternational Conference on Networking and Information Technology, Singapore, 17, 224–230.Google Scholar
Roberts, G. W., Meng, X.L. and Dodson, A.H. (2002). Using adaptive filtering to detect multipath and cycle slips in GPS/accelerometer bridge deflection monitoring data. FIG XXII International Congress, TS6. Washington, D.C. USA, 19–26 April.Google Scholar
Wübbena, G., Schmitz, M. and Bagge, A. (2009). Some thoughts on satellite induced phase shifts aka “the L2C quarter cycle problem” and the impact on RINEX and RTCM. Geo++ White Paper. http://www.geopp.de/media/docs/pdf/geopp_phase_shift_l2c.pdf/ (accessed on 5th April 2018)Google Scholar
Xiaohong, Z. and Xingxing, L. (2012). Instantaneous re-initialization in real-time kinematic PPP with cycle slip fixing. GPS Solutions, 16(3), 315–327.Google Scholar
Xu, G. (2007). GPS: theory, algorithms and applications. Springer Science & Business Media.Google Scholar
Zhang, B.C., Teunissen, P. J. and Odijk, D. (2011). A novel un-differenced PPP-RTK concept. Journal of Navigation, 64(S1), S180–S191.Google Scholar