@Article{MoraesPaulPerrRodr:2013:DiGPSi,
author = "Moraes, Alison de Oliveira and Paula, Eurico Rodrigues de and
Perrella, Waldecir Jo{\~a}o and Rodrigues, Fabiano da Silveira",
affiliation = "Instituto de Aeron{\'a}utica e Espa{\c{c}}o, IAE, S{\~a}o
Jos{\'e} dos Campos, Brazil and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and Instituto Tecnol{\'o}gico de
Aeron{\'a}utica, ITA, S{\~a}o Jos{\'e} dos Campos, Brazi and
William B. Hanson Center for Space Sciences, University of Texas
at Dallas, UTD, Richardson, United States",
title = "On the distribution of GPS signal amplitudes during low-latitude
ionospheric scintillation",
journal = "GPS Solutions",
year = "2013",
volume = "17",
number = "4",
pages = "499--510",
month = "Oct.",
keywords = "Ionospheric measurement, Fading (radio), Global positioning
system, Ionosphere, Probability density function, Scintillation,
Statistical tests.",
abstract = "Ionospheric scintillations are fluctuations in the phase and/or
amplitude of trans-ionospheric radio signals caused by electron
density irregularities in the ionosphere that affect the
performance of Global Navigation Satellite Systems receivers. We
used an entire month of high-rate (50 Hz) measurements of the GPS
L1 (1.575 GHz) signal amplitude to investigate the statistics of
L-Band signals during ionospheric scintillation events. The
scintillation measurements used in this study were made by a
GPS-based scintillation monitor installed in Sao Jose dos Campos,
Brazil, near the equatorial anomaly peak. The observations were
made over 32 days during high solar flux conditions when typical
values of F10.7 were above 150 × 10-22 W/m2/Hz. This data set
allowed us to test the Nakagami-m and Rice probability density
functions (PDFs) in the description of the distribution of L-Band
scintillating signals with better statistical confidence than
previously possible. In addition, we parameterized and tested the
ability of the \α-\μ distribution, which is a more
general and yet simple and flexible fading model to describe the
distribution of signal amplitudes during scintillation events. The
results show a slight advantage of the Nakagami-m PDF over the
Rice distribution. We also show that the \α-\μ PDF
outperforms the Nakagami-m and Rice PDFs in the statistical
characterization of amplitude scintillation. The reason for such a
performance is the fact that the \α-\μ model was
specially tailored to the ionospheric scintillation events,
resulting in a better fit with experimental data, specifically in
the region of small amplitudes, which is particularly interesting
for scintillation studies.",
doi = "10.1007/s10291-012-0295-3",
url = "http://dx.doi.org/10.1007/s10291-012-0295-3",
issn = "1080-5370 and 1521-1886",
language = "en",
urlaccessdate = "10 maio 2024"
}