Evaluation of EGNOS Tropospheric Delay Model in South-Eastern Europe. Kos, T., Botincan, M., & Markezic, I. JOURNAL OF NAVIGATION, 62(2):341–349, CAMBRIDGE UNIV PRESS, 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA, April, 2009.
doi  abstract   bibtex   
The troposphere affects electromagnetic signal propagation causing signal path bending and the alteration of the electromagnetic wave velocity. Tropospheric delay can introduce a considerable error in satellite positioning if it is not properly estimated. The GPS signal delay can vary from 2 to 20 in depending on the elevation angles between the receiver and the satellite. Two basic types of delay prediction models exist. The first use surface meteorological parameters to estimate the value of the tropospheric delay, and the other models that do not require real-time meteorological input use average and seasonal variation data related to the receiver's latitude and day-of-year. This paper compares the performance of both types of model over a period of one year, comprising all seasons, to verify their accuracy over a longer period. The Saastamoinen model, known as one of the best performing prediction models, was taken as a reference and the global EGNOS model was used to check how the global estimates of the yearly averages of the meteorological parameters and their related seasonal variations comply with the real-time surface parameters.
@article{WOS:000265036500010,
abstract = {The troposphere affects electromagnetic signal propagation causing
signal path bending and the alteration of the electromagnetic wave
velocity. Tropospheric delay can introduce a considerable error in
satellite positioning if it is not properly estimated. The GPS signal
delay can vary from 2 to 20 in depending on the elevation angles between
the receiver and the satellite. Two basic types of delay prediction
models exist. The first use surface meteorological parameters to
estimate the value of the tropospheric delay, and the other models that
do not require real-time meteorological input use average and seasonal
variation data related to the receiver's latitude and day-of-year. This
paper compares the performance of both types of model over a period of
one year, comprising all seasons, to verify their accuracy over a longer
period. The Saastamoinen model, known as one of the best performing
prediction models, was taken as a reference and the global EGNOS model
was used to check how the global estimates of the yearly averages of the
meteorological parameters and their related seasonal variations comply
with the real-time surface parameters.},
address = {32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA},
author = {Kos, Tomislav and Botincan, Maja and Markezic, Ivan},
doi = {10.1017/S0373463308005146},
issn = {0373-4633},
journal = {JOURNAL OF NAVIGATION},
keywords = {Tropospheric delay; Saastamoinen model; Hopfield m},
month = apr,
number = {2},
pages = {341--349},
publisher = {CAMBRIDGE UNIV PRESS},
title = {{Evaluation of EGNOS Tropospheric Delay Model in South-Eastern Europe}},
type = {Article},
volume = {62},
year = {2009}
}

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