Advantages of Multi GNSS Constellation: GDOP Analysis for GPS, GLONASS and Galileo Combinations

Authors

Keywords:

Satellite positioning, GPS, GLONASS, GALILEO, GDOP

Abstract

Positioning techniques made lots of progress in the last decades, thanks to the wide usage of the Global Navigation Satellite Systems (GNSS). During a satellite survey, interruption or complete absence of positioning service can happen due to obstacle presence or constrained environments. To avoid these problems, it is suitable to simulate a positioning survey determining the number of the GNSS satellites in view and their availability trend for a selected location. Using more than one constellation the number of the observed satellites is increased and the continuity and reliability of positioning significantly improved. The aim of this paper is to assess the impact of multi-GNSS constellation on positioning calculation in terms of number of available satellites and geometrical distribution in the sky. A simulation is conducted for different cut-off angles, ranging from 0° to 30°: satellites visibility predictions are performed for the city of Benevento (Italy) using short observing sessions (96 daily) and considering GPS, GLONASS and GALILEO constellation. The benefits of their combinations are investigated: in order to assess the observation quality, the Geometrical Dilution of Precision (GDOP) is used as criteria to prove how it is possible to reduce degradation of the position accuracy by using multi-GNSS combinations. Particularly, GPS+GLONASS supplies higher performances compared to the other solutions. Because the low number of satellites in view, the contribution of GALILEO is limited, and its presence instead of GPS or GLONASS in the two constellation solutions produces a decrease in positioning accuracy.

Author Biographies

Claudio Parente, University of Naples "Parthenope"

Department of Sciences and technologies

University of Naples Parthenope

PhD, Associate Professor – Geomatics, Topography and Cartography

Claudio Meneghini, University of Naples "Parthenope"

Research Fellow at the Department of Sciences and

Technologies, University of Naples "Parthenope".

References

M. Abrahan, T. C. Bacolcol, E. Gunawan, F. Kimata, E. Jorgio, R. Jorgio, A. C. Luis, Y. Nakamura, T. Ohkura, A. Pelicano, T. Tabei and M. Tabique, “Plate convergence and block motions in Mindanao Island, Philippine as derived from campaign GPS observations,” Journal of Disaster Research, vol. 10, pp. 59-66, 2015.

A. Pantoja, I. Silva and J. C. Toledo, “A quality management system for positioning with GNSS technology,” Survey Review, vol. 42, pp. 397-405, 2010.

S. M. Alif, J. Efendi, E. Gunawan and I. Meilano, “Evidence of post seismic deformation signal of the 2007 M8.5 Bengkulu earthquake and the 2012 M8.6 Indian ocean earthquake in Southern Sumatra, Indonesia, Based on GPS Data,” Journal of Applied Geodesy, vol. 10, pp. 103-108, 2016.

D. Gebre-Egziabher and S. Gleason, “GNSS applications and methods,” Artech House, 2009.

A. Leick, C. Rizos, M. P. Stewart and J. Wang, “GPS and GLONASS integration: modeling and ambiguity resolut ion issues,” GPS Solutions, vol. 5, pp. 55-64, 2001.

Z. Deng, H. Dong, Z. Gao, Y. Xi, L. Yin, and Z. Zhan, “A satellite selection algorithm for GNSS multi-system based on pseudorange measurement accuracy,” Proc. IEEE Broadband Network & Multimedia Technology (IC-BNMT), IEEE Press, 2013, pp. 165-168.

L. Yang, Z. Wang, L. Zhou, L. and Y. Zhu, “The analysis on geometry dilution of precision for multi-GNSS,” Proc. Signal Processing, Communications and Computing (ICSPCC), IEEE Press, 2014, pp. 762-766.

B. Huang and W. Wang, “Research on properties of DOP in multi-constellation,” Proc. Symp. Computational Intelligence and Design (ISCID), IEEE Press, 2014, pp. 445-448.

“Navigation, and timing, official U.S. government information about the Global Positioning System (GPS) and related topics,” http://www.gps.gov/.GLONASS, May 12, 2016.

“Official information of the GLONASS SCC,” https://www.glonass-iac.ru/en/,May 12, 2016.

“BeiDou Navigation Satellite System,” http://en.beidou.gov.cn/, May 12, 2016.

“Galileo-Satellite Navigation,” http://ec.europa.eu/growth/sectors/space/galileo/, May 12, 2016.

G. Dick, M. Ge, X. Li, C. Lu, T. Ning, H. Schuh, J. Wickert and F. Zus, “Retrieving of atmospheric parameters from multi‐GNSS in real time: validation with water vapor radiometer and numerical weather model,” Journal of Geophysical Research: Atmospheres, vol. 120, pp. 7189-7204, 2015.

X. Dai, M. Fritsche, M. Ge, X. Li, X. Ren, H. Schuh and J. Wickert, “Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo,” Journal of Geodesy, vol. 89, pp. 607-635, 2015.

M. Fritsche, X. Li, X. Ren, H. Schuh, J. Wickert and X. Zhang, “Precise positioning with current multi-constellation Global Navigation Satellite Systems: GPS, GLONASS, Galileo and BeiDou,” Scientific Reports, vol. 5, pp. 1-14, 2015.

A. El-Mowafy, “Pilot evaluation of integrating Glonass, Galileo and Beidou with GPS in Araim,” Artificial Satellites, vol. 51, pp. 31-44, 2016.

A. Leick, L. Rapoport and D. Tatarnikov, GPS satellite surveying, 4th ed. Hoboken: John Wiley & Sons, 2015.

N. Zarei, “Artificial intelligence approaches for GPS GDOP classification,” International Journal of Computer Applications, vol. 96, pp. 16-21, 2014.

I. Ali, N. Al-Dhahir, J. Hershey and R. Yarlagadda, “GPS GDOP metric,” Proc. IEE: Radar, Sonar and Navigation, 2000, pp. 259-264.

Dalip and V. Kumar, “Effect of environmental parameters on GSM and GPS,” Indian Journal of Science and Technology, vol. 7, pp. 1183-1188, 2014.

H. Azami, M. Azarbad and S. Sanei, “New applied methods for optimum GPS satellite selection,” Proc. IEEE Symp. AI & Robotics and 5th RoboCup Iran Open International (RIOS), IEEE Press, 2013, pp. 1-6.

L. Chen, C. Miao and J. Zhao, “A new approach on indoor positioning system,” Proc. International Conference on Advanced Information and Communication Technology for Education (ICAICTE-2013), Atlantis Press, 2013, pp. 6-10.

H. R. Guo, H.B. He, J. Z Li, J. Tang, J. Y. Xu and Y. X. Yang, “Contribution of the Compass satellite navigation system to global PNT users,” Chinese Science Bulletin, vol. 56, pp. 2813-2819, 2011.

B. Hofmann-Wellenhof, H. Lichtenegger and E. Walse, GNSS-Global Navigation Satellite Systems-GPS, GLONASS, Galileo and more, New York: Springer Wien, 2008.

Y. Teng and J. Wang, “New characteristics of Geometric Dilution of Precision (GDOP) for multi-GNSS constellations,” Journal of Navigation, vol. 67, 2014, pp. 1018-1028.

J. Du, T. Han, X. Lu, H. Wu and X. Zhang, “The mathematical expectation of GDOP and its application”, Proc. China Satellite Navigation Conference (CSNC-2013), Springer Berlin Heidelberg, 2013, pp. 501-521.

D. J. Jwo and C. C. Lai, “Neural network-based GPS GDOP approximation and classification,” GPS Solutions, vol. 11, pp. 51-60, 2007.

D. Dong, C. Fu, A. Tian and S. Yang, “The research of satellite selection algorithm in positioning system,” Proc. of the Second International Conference on Communications, Signal Processing, and Systems, Springer International Publishing, 2014, pp. 997-1003.

Y. Kang, J. Song and G. Xue, “A novel method for optimum Global Positioning System satellite selection based on a modified genetic algorithm,” PLoS ONE, vol. 11, pp. 1-14, 2016.

S. H. Doong, “A closed-form formula for GPS GDOP computation,” GPS Solutions, vol. 13, pp. 183-190, 2009.

W. Li, L. Zhu, “A novel satellite selecting algorithm for BeiDou navigation satellite system,” Proc. Wireless Communications & Signal Processing (WCSP-2015), International Conference on. IEEE, 2015, pp. 1-4.

“Trimble Planning Software Downloads,” http://www.trimble.com/support_trl.aspx?Nav=Collection-8425&pt=Planning %20Software, May 12, 2016.

M. R. Mosavi, “Applying genetic algorithm to fast and precise selection of GPS satellites,” Asian Journal of Applied Sciences, vol. 4, pp. 229-237, 2011.

Downloads

Additional Files

Published

2017-01-01

How to Cite

[1]
C. Parente and C. Meneghini, “Advantages of Multi GNSS Constellation: GDOP Analysis for GPS, GLONASS and Galileo Combinations”, Int. j. eng. technol. innov., vol. 7, no. 1, pp. 1–10, Jan. 2017.

Issue

Section

Articles