@Article{SurcoEspejoCoMoMaPaMo:2022:GPSiSi,
author = "Surco Espejo, Teddy Modesto and Costa, Emanoel and Moraes, Alison
O. and Martinon, Andr{\'e} Ricardo Fazanaro and Paula, Eurico
Rodrigues de and Monico, Jo{\~a}o Francisco Galera",
affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro
(PUC-Rio)} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do
Rio de Janeiro (PUC-Rio)} and {Instituto de Aeron{\'a}utica e
Espa{\c{c}}o (IAE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Estadual Paulista (UNESP)}",
title = "A GPS signal-in-space simulation model for equatorial and low
latitudes in the Brazilian longitude sector",
journal = "GPS Solutions",
year = "2022",
volume = "26",
number = "3",
pages = "e94",
month = "July",
keywords = "Global positioning system, Ionospheric amplitude and phase
scintillation, Ionospheric delay, Space weather.",
abstract = "The ionosphere affects the propagation of global positioning
system signals. Due to their special features, the equatorial and
low-latitude ionosphere may produce particularly severe effects on
them. The ground-based augmentation system has been developed to
meet the safety requirements of civil aviation. To evaluate the
performance of such a system, a statistical simulation model of
the global positioning system signal-in-space has been developed,
considering several components. The present work will focus on:
(1) the ionospheric delay, with basis on statistical distributions
of vertical total electron content obtained by the combination of
the International Reference Ionosphere with data from the Rede
Brasileira de Monitoramento Cont{\'{\i}}nuo, operated by
Instituto Brasileiro de Geografia e Estat{\'{\i}}stica; (2)
cycle ambiguity, characterized through the processing of the same
data set; (3) ionospheric amplitude scintillation, simulated with
basis on proper indices and the \α\μ probability
distribution; and (4) ionospheric phase scintillation, generated
according to its standard deviation. The statistical simulation
model is based on a set of representative geophysical parameters
and may be used to generate time series of pseudorange, carrier
phase, and received signal power, to be applied as inputs to
existing or future ground-based augmentation system testbeds. This
provides an alternative to experimental data collection, which
could be expensive and time-consuming. Additionally, such data may
not be available for all regions and critical geophysical
conditions of interest.",
doi = "10.1007/s10291-022-01273-9",
url = "http://dx.doi.org/10.1007/s10291-022-01273-9",
issn = "1080-5370 and 1521-1886",
language = "en",
targetfile = "SurcoEspejo2022_Article_AGPSSignal-in-spaceSimulationM.pdf",
urlaccessdate = "25 jun. 2024"
}