ASSESSMENT OF GPS/GLONASS POINT POSITIONING IN BRAZILIAN REGIONS WITH DISTINCT IONOSPHERIC BEHAVIOR

Nowadays GPS (Global Positioning System) and GLONASS (GLObal NAvigation Satellite System) are the main systems of GNSS (Global Navigation Satellite Systems), also composed by Galileo and BeiDou. After a long period of degradation, GLONASS was modernized, and its constellation was reestablished in 2011. Considering this new scenario, with GPS and GLONASS full constellations, the interest in the combined use of both systems was renewed. Besides the constellations used, other factors are related to the positioning quality, for instance the ionospheric influence. Several studies have been performed aiming to assess GPS positioning quality as well as the ionospheric influence on it, but concerning GLONASS, there are still several possibilities of investigation. In this context, this research aimed to assess the GPS/GLONASS data point positioning performance considering Brazilian regions with different ionospheric behavior during periods of low and high ionospheric activity. Spatial and time ionospheric influence in the positioning performance were observed. Considering all configurations tested with 30-minute data, the use of GPS/GLONASS data provided better results in 97.35% of the cases when compared to autonomous GPS, the mean improvement was about 60 cm, which corresponds to 30%.

[1]  Chuang Shi,et al.  Rapid initialization of real-time PPP by resolving undifferenced GPS and GLONASS ambiguities simultaneously , 2017, Journal of Geodesy.

[2]  Paul M. Kintner,et al.  Mapping and Survey of Plasma Bubbles over Brazilian Territory , 2007 .

[3]  Daniele Barroca Marra Alves,et al.  Multivariate analysis of combined GPS/GLONASS point positioning performance in Brazilian regions under different ionospheric conditions , 2019 .

[4]  C. Hegarty,et al.  Modeling the effects of ionospheric scintillation on GPS/Satellite‐Based Augmentation System availability , 2003 .

[5]  B. P. de Hon,et al.  A modal impedance‐angle formalism: Schemes for accurate graded‐index bent‐slab calculations and optical fiber mode counting , 2003 .

[6]  Biagio Forte,et al.  GPS availability and positioning issues when the signal paths are aligned with ionospheric plasma bubbles , 2018, GPS Solutions.

[7]  Nathalia Rose Silva da Purificação,et al.  A PROPOSAL FOR MODELING AND IMPLEMENTING AN INTEGRATED SYSTEM FOR BRAZILIAN CADASTRES ACCORDING TO ISO 19152:2012 LAND ADMINISTRATION DOMAIN MODEL , 2019 .

[8]  Yang Gao,et al.  Modeling and assessment of combined GPS/GLONASS precise point positioning , 2013, GPS Solutions.

[9]  Yang Gao,et al.  GLONASS-based precise point positioning and performance analysis , 2013 .

[11]  Gabriel Oliveira Jerez,et al.  GENERATION AND PERFORMANCE ANALYSIS OF GPS AND GLONASS VIRTUAL DATA FOR POSITIONING UNDER DIFFERENT IONOSPHERIC CONDITIONS , 2019, Boletim de Ciências Geodésicas.

[13]  Pan Li,et al.  Integrating GPS and GLONASS to accelerate convergence and initialization times of precise point positioning , 2014, GPS Solutions.

[15]  Yang Gao,et al.  Precise point positioning with quad-constellations: GPS, BeiDou, GLONASS and Galileo , 2015 .