@Article{MoraesSoPaCuLiVa:2019:PeAn,
author = "Moraes, Alison and Sousasantos, Jonas and Paula, Eurico Rodrigues
de and Cunha, Josu{\'e} J{\"u}rgen Popov Pereira da and Lima
Filho, Vicente Carvalho and Vani, Bruno Cesar",
affiliation = "{Instituto de Aeron{\'a}utica e Espa{\c{c}}o (IAE)} and
{Instituto Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {McKinsey
\& Company} and {Instituto Tecnol{\'o}gico de Aeron{\'a}utica
(ITA)} and Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia
e Tecnologia de S{\~a}o Paulo (IFSP)",
title = "Performance analysis of \κ-\μ distribution for Global
Positioning System (GPS) L1 frequency-related ionospheric fading
channels",
journal = "Journal of Space Weather and Space Climate",
year = "2019",
volume = "9",
number = "A15",
month = "may",
keywords = "ionospheric scintillation, fading distributions, statistical
modeling, GNSS availability, GNSS positioning issues.",
abstract = "The present work aims to evaluate the application of the kappa-mu
distribution as a representation of the fading effect caused by
the phenomenon of scintillation on L-band transionospheric radio
links. The ionospheric scintillation is a phenomenon defined as a
rapid variation in the amplitude and phase of electromagnetic wave
signals. This phenomenon starts in the first hours of the night,
at latitudes near the geomagnetic equator. Scintillation occurs
when radio signals cross ionospheric irregularities, also known as
plasma bubbles. These plasma bubble structures are generated after
the sunset due to instabilities in the F region of ionosphere.
Distributions with non-single parameter usually present better
results, however, this point requires further investigation by
comparing different models. The goals of this study are: (1) the
modeling of experimental data using the kappa-mu distribution; (2)
the kappa-mu parameters characterization for empirical data and
the evaluation of parameters estimation based in different
approaches; (3) the comparison between the distribution proposed
and other models adopted in the literature in order to verify the
performance of two parameter models. The results of the analysis
performed showed that the kappa-mu distribution presents good
fitting of the empirical scintillation data. These fitting results
were calculated through the chi-square fit test under which the
values reveal fair E[chi(2)] for kappa-mu distribution in most of
the cases. The evaluation of kappa-mu parameters suggests that the
distribution has a more conservative outcome than in the
distributions traditionally used, but being a legitimate
approximation due to its adjustable features in the tail region of
the distribution. Typical pairs of kappa-mu coefficients are
presented for theoretical works. The comparison of kappa-mu
distribution to Rice, Nakagami-m and alpha-mu models showed that
kappa-mu is capable of describing more severe scintillation
scenarios where the tail of the distribution is more raised in
comparison to the other models.",
doi = "10.1051/swsc/2019012",
url = "http://dx.doi.org/10.1051/swsc/2019012",
issn = "2115-7251",
language = "en",
targetfile = "swsc180036.pdf",
urlaccessdate = "28 abr. 2024"
}