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Geolocal – A New System for Geo-Referencing: Analysis of Base Distribution

Published online by Cambridge University Press:  03 September 2020

Eduardo P. Macho*
Affiliation:
(CRAAM, Universidade Presbiteriana Mackenzie, São Paulo, Brazil)
Sergio V.D. Pamboukian
Affiliation:
(CRAAM, Universidade Presbiteriana Mackenzie, São Paulo, Brazil)
Emília Correia
Affiliation:
(CRAAM, Universidade Presbiteriana Mackenzie, São Paulo, Brazil) (Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brazil)

Abstract

Geolocal is a new navigation system conceived and patented in Brazil, whose purpose is to be independent of other global navigation satellite systems (GNSS). It has an ‘inverted-GNSS’ configuration with at least four bases on the ground at known geodesic position coordinates and a repeater in space. Simulations were performed to determine the precision of Geolocal using different quantities and distributions of bases. They showed that this precision is enhanced when the quantity of bases increases, as long as the elevation angles of the new bases included are higher than the average and when the bases are evenly distributed around the repeater, but mainly when the time delay at the repeater is known in advance and when the measurement errors that generate uncertainties are reduced. The position dilution of precision (PDOP) was also calculated, confirming that precision is enhanced by the quantity of bases and by their distribution.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2020

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References

REFERENCES

μ − BLOX (1999). Datum Transformations of GPS Positions. https://microem.ru/files/2012/08/GPS.G1-X-00006.pdf. Accessed 27 February 2020.Google Scholar
Correia, E., Muella, M. T. A. H., Alfonsi, L., Prol, F. S. and Camargo, P. O. (2018). GPS scintillations and total electron content climatology in the southern American sector. In: Ugur Sanli, D. (ed.). Positioning Accuracy of GNSS Methods. IntechOpen, London, 4770. doi:10.5772/intechopen.79218.Google Scholar
Duev, D. A., Pogrebenko, S. V. and Calvés, G. M. (2011). A tropospheric signal delay model for radio astronomical observations. Astronomy Reports, 55(11), 10081015.CrossRefGoogle Scholar
Facheris, L. and Cuccoli, F. (2018). Global ECMWF analysis data for estimating the water vapor content between two LEO satellites through NDSA measurements. IEEE Transactions on Geoscience and Remote Sensing, 56(3), 15461554.CrossRefGoogle Scholar
Faria, L. A., Silvestre, C. A. M. and Correia, M. A. F. (2016). GPS-dependent systems: vulnerabilities to electromagnetic attacks. Journal of Aerospace Technology and Management, 8(4), 423430.CrossRefGoogle Scholar
Faria, L. A., Silvestre, C. A. M., Correia, M. A. F. and Roso, N. A. (2018). Susceptibility of GPS-dependent complex systems to spoofing. Journal of Aerospace Technology and Management, 10, e0218.CrossRefGoogle Scholar
Gao, W., Pan, S., Gao, C., Wang, Q. and Shang, R. (2019). Tightly combined GPS and GLONASS for RTK positioning with consideration of differential inter-system phase bias. Measurement Science and Technology, 30(5), 054001.CrossRefGoogle Scholar
Geng, J., Li, X., Zhao, Q. and Li, G. (2019). Inter-system PPP ambiguity resolution between GPS and BeiDou for rapid initialization. Journal of Geodesy, 93, 383398.CrossRefGoogle Scholar
Grunin, A., Kalinov, G., Bolokhovtsev, A. and Sai, S. (2018). Method to improve accuracy of positioning object by eLoran system with applying standard Kalman filter. Journal of Physics: Conference Series, 1015, 032050.Google Scholar
Hong-Mei, H. and Lu-Ping, X. (2016). Design and analysis of the secure scheme for quantum positioning based on photon pair. International Journal of Technology and Human Interaction, 12(2), 2235.CrossRefGoogle Scholar
Honma, M., Tamura, Y. and Reid, M. J. (2008). Tropospheric delay calibrations for VERA. Publications of the Astronomical Society of Japan, 60, 951960.CrossRefGoogle Scholar
Islam, M. R. and Kim, J. M. (2014). An effective approach to improving low-cost GPS-positioning accuracy in real-time navigation. The Scientific World Journal. 4, 18.Google Scholar
Kaufmann, P. and Levit Kaufmann, P. (2012). Process and System to Determine Temporal Changes in Retransmission and Propagation of Signals Used to Measure Distances, Synchronize Actuators and Georeference Applications. Patent of Invention PI03003968-4, filed in Brazil on 19 March 2012, International PCT, application filed on 17 April 2012.Google Scholar
Kaufmann, P., Levit Kaufmann, P., Pamboukian, S. V. D. and Vilhena de Moraes, R. (2012). Signal transceiver transit times and propagation delay corrections for ranging and georeferencing applications. Mathematical Problems in Engineering, 2012, 89, 112.CrossRefGoogle Scholar
Kaufmann, P., Levit Kaufmann, P., Pamboukian, S. V. D. and Vilhena de Moraes, R. (2014). A new independent GPS-free system for geo-referencing from space. Scientific Research, 5, 3745.Google Scholar
Khan, A. M., Iqbal, N., Khan, A. A., Khan, M. F. and Ahmed, A. (2020). Detection of intermediate spoofing attack on global navigation satellite system receiver through slope based metrics. The Journal of Navigation, 73(5), 10521068.CrossRefGoogle Scholar
Kosek, W., Popinski, W., Wnek, A., Sosnika, K. and Zbylut-Gorska, M. (2020). Analysis of systematic errors in geocenter coordinates determined from GNSS, SLR, DORIS, and GRACE. Pure and Applied Geophysics, 177, 867888.CrossRefGoogle Scholar
Krobka, N. I., Tribulev, N. V. and Bidenko, A. I. (2016). The Projects on Application of Atom Interferometer in Space and Sea: Current State. 23rd Saint Petersburg International Conference on Integrated Navigation Systems. May 2016.Google Scholar
Li, X., Ge, M., Dai, X., Ren, X., Fritsche, M., Wickert, J. and Schuh, H. (2015). Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. Journal of Geodesy, 89(6), 607635.CrossRefGoogle Scholar
Li, X., Zhang, X., Ren, X., Fritsche, M., Wickert, J. and Schuh, H. (2015). Precise positioning with current multi-constellation global navigation satellite systems: GPS, GLONASS, Galileo and BeiDou. Nature Scientific Reports, 5, 8328.CrossRefGoogle ScholarPubMed
Maciuk, K. (2018). GPS-only, GLONASS-only and combined GPS + GLONASS absolute positioning under different sky view conditions. Tehniéki vjesnik, 25(3), 933939.Google Scholar
Mandal, S., Samanta, K. and Bose, A. (2016). IRNSS and Possible Benefits in Hybrid Operation with GPS. Proc. National Conference on Materials, Devices and Circuits for Communication Technology, Burdwan, India, 19–20 February, 7275.Google Scholar
Marković, M. (2015). Determination of total electron content in the ionosphere using GPS technology. Geonauka, 02, 19.CrossRefGoogle Scholar
Niell, A. E. (1996). Global mapping functions for the atmosphere delay at radio wavelengths. Journal of Geophysical Research, 101(B2), 32273246.CrossRefGoogle Scholar
Odolinski, R., Teunissen, P. J. G. and Zhang, B. (2020). Multi-GNSS processing, positioning and applications. Journal of Spatial Science, 65(1), 35.CrossRefGoogle Scholar
Pamboukian, S. V. D. (2012). Novo processo de georeferenciamento: determinaçao de posiçao de transponder remoto e aplicaçoes no posicionamento de alvos e disseminaçao de tempos. Software Registered in Brazil. Protocol 02012-0032225.Google Scholar
Paziewski, J. and Wielgosz, P. (2015). Accounting for Galileo-GPS inter-system biases in precise satellite positioning. Journal of Geodesy, 89, 8193.CrossRefGoogle Scholar
Phillips, A. (1984). Geometrical determination of PDOP. Journal of the Institute of Navigation, 31(4), 329337.CrossRefGoogle Scholar
Rizos, C. and Yang, L. (2019). Background and recent advances in the Locata terrestrial positioning and timing technology. Sensors (Basel), 19(8), 1821.CrossRefGoogle ScholarPubMed
Santra, A., Mahato, S., Mandal, S., Dan, S., Verma, P., Banerjee, P. and Bose, A. (2019). Augmentation of GNSS utility by IRNSS/NavIC constellation over the Indian region. Advances in Space Research, 63, 29953008.CrossRefGoogle Scholar
Spogli, L., Alfonsi, L., Cilliers, P. J., Correia, E., De Franceschi, G. D., Mitchell, C. N., Romano, V., Kinrade, J. and Cabrera, M. A. (2013). GPS scintillations and total electron content climatology in the southern low, middle and high latitude regions. Annals of Geophysics, 56(2), R0220.Google Scholar
Yamagami, T., Saito, Y., Matsuzaka, Y., Namiki, M., Toriumi, M., Yokota, R., Hirosawa, H. and Matsushima, K. (2004). Development of the highest altitude balloon. Advances in Space Research, 33, 16531659.CrossRefGoogle Scholar
Zaminpardaz, S., Wang, K. and Teunissen, P. J. G. (2018). Australia-first high-precision positioning results with new Japanese QZSS regional satellite system. GPS Solutions, 22, 101.CrossRefGoogle Scholar
Zhao, Q., Chen, G., Guo, J., Liu, J. and Liu, X. (2018). An a priori solar radiation pressure model for the QZSS Michibiki satellite. Journal of Geodesy, 92(2), 109121.CrossRefGoogle Scholar