Statistics

    Map

Twitter


Evaluation of PPP/GNSS obtained Coordinates Accuracy using a Decision Tree

( Vol-5,Issue-12,December 2018 ) OPEN ACCESS
Author(s):

Mauro Menzori, Vitor Eduardo Molina Junior

Keywords:

GNSS, PPP, Decision Tree, Precision, Accuracy.

Abstract:

Point positioning over the Earth´s surface has become simpler after the advent of positioning systems using artificial satellites. Nowadays, the satellites constellations of GNSS are GPS and GLONASS, the most structured systems, however, other systems were built to integrate the GNSS in last years. There are different methods to perform precise positioning using the data transmitted by GNSS satellites and the PPP method is one of these. Similarly to others, the PPP uses the observables to produce the coordinates and precise them. As we know, precision is different from accuracy. While precision informs the data set quality, accuracy tells us how much the coordinate is close to its real position on the ground. Although the correlation between precision and accuracy correlation is implicit in the observables, the processing methods cannot achieve it. The purpose of this study was to identify this relationship using the data mining tool known as Decision Tree. The creation of a large set of coordinates with known precision and accuracy were necessary for the recursive training of the Decision Tree, which became able to predict the coordinates’ accuracy using only its precision abstract should summarize the content of the paper. Try to keep the abstract below 250 words. Do not make references nor display equations in the abstract. The journal will be printed from the same-sized copy prepared by you. Your manuscript should be printed on A4 paper (21.0 cm x 29.7 cm). It is imperative that the margins and style described below be adhered to carefully. This will enable us to keep uniformity in the final printed copies of the Journal. Please keep in mind that the manuscript you prepare will be photographed and printed as it is received. Readability of copy is of paramount importance.

ijaers doi crossref DOI:

10.22161/ijaers.5.12.16

Paper Statistics:
  • Total View : 135
  • Downloads : 33
  • Page No: 118-125
Cite this Article:
Click here to get all Styles of Citation using DOI of the article.
References:

[1] Hofmann-Wellenhof, B.; Lichtnegger, H.; Wasle E. 2007. “GNSS - Global Navigation Satellite”. Springer-Verlag, New York, U.S.A..
[2] Monico, J.F.G. 2008. “Positioning by GNSS”. Second Edition, Unesp Publishing, São Paulo.
[3] Brazilian Institute of Geography and Statistics. 2013. “User Manual Online Application IBGE-PPP”. Coordination of Geodesy Directorate of Geosciences, Rio de Janeiro.
[4] Xu, G., Xu Y. 2016. “GPS: Theory, Algorithms and Applications”. Third Edition, Springer-Verlag, Berlin Heidelberb, Germany.
[5] Silva I.; Segantine, P.C.L. 2015. “Topography for Engineering”. Elsevier Publications Ltd., Rio de Janeiro, RJ.
[6] Witten. I.H.; Frank, E. 2005. “Data Mining Practical Machine Learning Tools and Techniques”. Second Edition, Morgan Kaufmann Publications, U.S.A..
[7] Zhan-Li S., Kin-Man L., Qing-Way G. 2015. “An Effective Missing Data Estimation Approach for Small Size Images Sequences”. IEEE-Computational Inteligence, V.10, N. 3, pp. . 10-18.
[8] Levine, R.I.; Drang, D.E.; Edelson B. 1988. “Artificial Intelligence and Expert Systems”. McGraw-Hill Publishing, São Paulo.
[9] Rich, E.; Knight, K. 1991. “Artificial Intelligence”. Second Edition, MacGraw Hill Publishing - U.S.A..
[10] Linoff, G. S.; Berry, M.J.A.. 2011. “Data Mining Techniques”. Third Edition, Wiley Publishing Inc. – U.SA..