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Static network code DGPS positioning vs. carrier phase single baseline solutions for short observation time and medium-long distances

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
GPS land surveys are usually based on the results of processing GPS carrier phase data. Code or pseudorange observations due to considerations of accuracy requirements and robustness are preferred in navigation and some GIS applications. Generally, the accuracy of that positioning is in the range of about 1-2 meters or so, on average. But the main problem in code GPS positioning is to know how to estimate the real accuracy of DGPS positions. It is not such an easy process in code positioning when one reference station is used. In most commercial software, there are no values of accuracy but only positions are presented. DGPS positions without estimated errors cannot be used for surveying tasks and for most GIS applications due to the fact that every point has to be have accuracy determined. However, when we used static GPS positioning, it is well known that the accuracy is determined, both during baseline processing and next by the adjustment of a GPS network. These steps of validation with redundancy in classical static phase baseline solutions allow wide use of static or rapid static methods in the main land surveying tasks. Although these control steps are commonly used in many major surveying and engineering tasks, they are not always effective in terms of short-observation-time sessions. This paper presents a new network DGPS approach of positioning with the use of at least three reference stations. The approach concerns also valid accuracy estimation based on variance-covariance (VC) matrix in the least-squares (LS) calculations. The presented network DGPS approach has the ability of reliable accuracy estimation. Finally, network DGPS positioning is compared with static baselines solutions where five-min sessions were taken into consideration for two different rover stations. It was shown that in a short observation time of GPS positioning, code network DGPS results can give even centimetre accuracy and can be more reliable than static relative phase positioning where gross errors often happen.
Słowa kluczowe
Rocznik
Strony
167--183
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
autor
  • University of Warmia and Mazury in Olsztyn, Chair of Satellite Geodesy and Navigation, Poland
Bibliografia
  • Ashtech. (1993). Ashtech XII GPPS, GPS Post-Processing System Manual, Software Version 5.0.00, USA.
  • Ashtech and Spectra Precision Terrasat GmbH Germany. (1998). Ashtech Office Suite for Survey, User’s Manual, USA.
  • Bakuła M. (2006a), An Approach of Network Code Differential GPS Positioning for Medium and Long Distances. Artificial Satellites, Journal of Planetary Geodesy, Vol. 41, No. 4, pp. 136-148.
  • Bakuła M. (2006b). Performance of Static Positioning for Medium Distances Based on Data from a Virtual Reference Station and ASG-PL Network, Artificial Satellites, Journal of Planetary Geodesy, Vol. 41, No. 1, pp. 33-42.
  • Bakuła M. Oszczak S. (2006). Experiences of RTK Positioning in Hard Observational Conditions During Nysa Kłodzka River Project, Vienna, Austria, Reports on Geodesy, No. 1(76), pp 71-79.
  • Bakuła M., Oszczak S., Pelc-Mieczkowska R., Suchocki M., Chrostowska M., Rudziński M. (2006). Analysis of Precision and Accuracy of GPS Measurements in Forest Conditions, Polskie Towarzystwo Informacji Przestrzennej, Rocznik GEOMATYKI, Tom IV, zeszyt 3, s. 23-32.
  • Grejner-Brzezińska D.A. Kashani I., Wielgosz P. (2005). On accuracy and reliability of instantaneous network RTK as a function of network geometry, station separation, and data processing strategies, GPS Solution, Vol. 9, N. 3, pp. 212-225.
  • Hofmann-Wellenhof B., Lichtenegger H., Collins J. (1997). Global Positioning System Theory and Practice, Fourth Edition, Springer-Verlag Wien New York.
  • Kleusberg A., Teunissen P.J.G. (eds) (1996). GPS For Geodesy. Springer, Berlin Heidelberg New York.
  • Lachapelle G., Alves P. (2002). Multiple Reference Station Approach: Overview and Current Research, Journal of Global Positioning Systems, Vol. 1, No 2, pp 133-136.
  • Landau H., Vollath U., Chen X. (2002). Virtual Reference Stations Systems, Journal of Global Positioning Systems, Vol. 1, No 2, pp 137-143.
  • Leick A. (1995). GPS Satellite Surveying, Second Edition, John Wiley & Sons, INC.
  • Misra P., Enge P. (2001). Global Positioning System: Signals Measurement and Performance, Ganga-Jamuna Press, Massachusets.
  • Parkinson B., Spilker J.J. (eds). (1996). GPS Theory and Applications, vols 1 and 2, AIAA, Washington, DC.
  • Raquet, J. (1997). A New Approach to GPS Carrier Phase Ambiguity Resolution Using a Reference Receiver Network, Proceedings of National Technical Meeting, Santa Monica, January 14-16), The Institute of Navigation, Alexandria, VA, 357-366.
  • Strang G., Borre K. (1997). Linear Algebra, Geodesy and GPS, Wellesley-Combridge Press, USA.
  • Teunissen P. J. G., de Jonge P. J., Tiberius C. C. J. M. (1997). The least-squares ambiguity adjustment: its performance on short GPS baselines and short observation spans. Journal of Geodesy 71, pp. 589-602.
  • Wanninger L. (1995). Improved Ambiguity Resolution by Regional Differential Modelling of the Ionosphere, Proc. of ION GPS 95, Palm Springs.
  • Wübbena G., Bagge A., Seeber G., Böder V., Hankemeier P. (1996). Reducing Distance Dependent Errors for Real-Time Precise DGPS Applications by Establishing Reference Station Networks, Proceedings of the International Technical Meeting, ION GPS-96, Kansas City, Missouri, pp. 1845-1852.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-eb900f6b-071c-4e14-b42e-0da4a85bf7ad
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