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Robust evaluation of atmospheric modeling impact in Network-Based positioning

Abstract

In the past few years is increasing the necessity of realizing high accuracy positioning. In this sense, the spatial technologies have being widely used. The GNSS (Global Navigation Satellite System) has revolutionized the geodetic positioning activities. Among the existent methods one can emphasize the network-based positioning. Applying this method is possible to obtain centimetric accuracy in real time. But, in order to get the intended accuracy, mainly in real time, is indispensable to realize the atmospheric modeling (ionosphere and troposphere) accordingly. Related to troposphere, there are the empirical models (for example Saastamoinem and Hopfield). But when highly accuracy results (error of few centimeters) are desired, maybe these models are not appropriated to the Brazilian reality. In order to minimize this limitation arise the NWP (Numerical Weather Prediction) models. Other extremely important factors concerning the positioning are the errors due to ionosphere. The ionospheric refraction is one of the most important error sources in GNSS positioning. A great part of Brazilian territory is located in geomagnetic equator, that is severely affected by ionosphere. In this research the main goal is to accomplish a rigorous analysis concerning the use of troposphere NWP models and ionosphere grid and/or regional models in network-based positioning. The expected result of this research is to make available a product that uses such models in order to generate virtual reference station data with great quality employing the network-based positioning. (AU)

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Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MARRA ALVES, DANIELE BARROCA; DE SOUZA, ENIUCE MENEZES; FERREIRA GOUVEIA, TAYNA APARECIDA. Correlation between ionospheric scintillation effects and GNSS positioning over Brazil during the last solar maximum (2012-2014). JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, v. 197, JAN 2020. Web of Science Citations: 0.
MAYARA COBACHO ORTEGA CALDEIRA; CARLOS RODRIGO TANAJURA CALDEIRA; SAMARA SUNNY DOS ANJOS CEREJA; DANIELE BARROCA MARRA ALVES; CLAUDINEI RODRIGUES DE AGUIAR CALDEIRA. EVALUATION OF THE GNSS POSITIONING PERFORMANCE UNDER INFLUENCE OF THE IONOSPHERIC SCINTILLATION. Bol. Ciênc. Geod., v. 26, n. 3, p. -, 2020.
ORTEGA CALDEIRA, MAYARA COBACHO; TANAJURA CALDEIRA, CARLOS RODRIGO; DOS ANJOS CEREJA, SAMARA SUNNY; MARRA ALVES, DANIELE BARROCA; DE AGUIAR, CLAUDINEI RODRIGUES. EVALUATION OF THE GNSS POSITIONING PERFORMANCE UNDER INFLUENCE OF THE IONOSPHERIC SCINTILLATION. Bol. Ciênc. Geod., v. 26, n. 3 2020. Web of Science Citations: 0.
SILVA, C. M.; ALVES, D. B. M.; SOUZA, E. M.; SETTI JUNIOR, P. T. Ionospheric scintillation impact on ambiguity resolution using ADOP in closed form. Advances in Space Research, v. 64, n. 4, p. 921-932, AUG 15 2019. Web of Science Citations: 0.
MARRA ALVES, DANIELE BARROCA; SAPUCCI, LUIZ FERNANDO; MARQUES, HAROLDO ANTONIO; DE SOUZA, ENIUCE MENEZES; FERREIRA GOUVEIA, TAYNA APARECIDA; MAGARIO, JACKES AKIRA. Using a regional numerical weather prediction model for GNSS positioning over Brazil. GPS SOLUTIONS, v. 20, n. 4, p. 677-685, OCT 2016. Web of Science Citations: 4.
E.M. SOUZA; D.B.M. ALVES; F.L. SCHUMACHER. Harmonic Analysis of Multipath Index Time Series in GPS Stations. TEMA (São Carlos), v. 16, n. 1, p. 71-78, Abr. 2015.

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