Browse > Article
http://dx.doi.org/10.7848/ksgpc.2013.31.5.421

Impact of Tropospheric Delays on the GPS Positioning with Double-difference Observables  

Hong, Chang-Ki (Department of Geoinformatics Engineering, Kyungil University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.31, no.5, 2013 , pp. 421-427 More about this Journal
Abstract
In general, it can be assumed that the tropospheric effect are removed through double-differencing technique in short-baseline GPS data processing. This means that the high-accuracy positioning can be obtained because various error sources can be eliminated and the number of unknown can be decreased in the adjustment computation procedure. As a consequence, short-baseline data processing is widely used in the fields such as deformation monitoring which require precise positioning. However, short-baseline data processing is limited to achieve high positioning accuracy when the height difference between the reference and the rover station is significant. In this study, the effects of tropospheric delays on the determination of short-baseline is analyzed, which depends on the orientation of baseline. The GPS measurements which include tropospheric effect and measurement noises are generated by simulation, and then rover coordinates are computed by short-baseline data processing technique. The residuals of rover coordinates are analyzed to interpret the tropospheric effect on the positioning. The results show that the magnitudes of the biases in the coordinate residuals increase as the baseline length gets longer. The increasing rate is computed as 0.07cm per meter in baseline length. Therefore, the tropospheric effects should be carefully considered in short-baseline data processing when the significant height difference between the reference and rover is observed.
Keywords
GPS; Short-baseline; Tropospheric effect; Deformation monitoring;
Citations & Related Records
연도 인용수 순위
  • Reference
1 DGIST (2012), Error Modeling for Development of GNSS Simulator, and Network-based Kinematic Positioning Technique, No. 12-IT-02, Daegu, Korea (in Korean with English abstract)
2 Fujino, Y., Murata, M., Okano, S., and Takeguchi, M. (2000), Monitoring System of the Akashi Kaikyo Bridge and Displacement Measurement Using GPS, In: Aktan, A. E. and Gosselin, S. R. (eds.), Nondestructive Evaluation of Highway, Utilities, and Pipelines IV, Proceedings of SPIE.
3 MOPS (1998), Minimum Operational Performance Standards for Global Positioning System/Wide Area Augmentation System Airborne Equipment, Document No. RTCA/DO-229A, June 8, 1998, prepared by SC-159.
4 Rizos, C., Han, S., Ge, L., Chen, H.-Y., Hatanaka, Y., and Abe, K. (2000), Low-cost Densification of Permanenent GPS Networks for Natural Hazard Mitigation: First Test on GSI's GEONET Network, Earth Planets and Space, Vol. 52, pp. 867-871.   DOI
5 Roberts, G. W., Meng, X., and Dodson, A. H. (2001), Data Processing and multipath Mitigation for GPS/Accelerometer Based Hybrid Structural Deflection Monitoring System, ION GPS'2001, 14th International Technical Meeting, Salt Lake City, USA, September 2001, pp. 473-481.
6 Saastamoinen, J. (1972), Atmospheric Correction for the Troposphere and Stratosphere in Radio Range of Satellites, Geophysical Monograph Series, Vol. 15, pp. 247-251.
7 Schuler, T. (2001), On ground-based GPS tropospheric delay estimation, Ph.D. dissertation, Institute of Geodesy and Navigation University, FAF Munich, Germany, 364p.
8 Teferle, f. N., Bingley, R. M., Dodson, A. H., Pnna, N. T., and Baker, T. F. (2001), Using GPS to Separate Crustal Movements and Sea Level Changes at Tide Gauges in the UK, In: Drewes, H. (ed.), Vertical Reference System, International Association of Geodesy Symposium, Springer-Verlag, pp. 264-269.
9 Hofmann-Wellenhof, B., Lichtenegger, H., and Collins, J. (2001), GPS Theory and Practice, 5th edition, Springer-Verlag: Wien/NewYork.