Results 91 to 100 of about 150 (111)

Short-term LOD and UT1-UTC forecast based on the Holt-Winters algorithm and angular momenta of global surficial geophysical fluids

Geodesy and Geodynamics
Jiesi Luo, Wei Chen, Jim Ray, Jiancheng Li   +3 more
openaire   +1 more source

Effect of station selection on VLBI-to-GNSS orientation transfer using space-ties onboard a next generation Galileo satellite

Sert H, Hugentobler U, Karatekin Ö, Dehant V.   +3 more
europepmc   +1 more source

Impact of Tropospheric Ties on UT1-UTC in GNSS and VLBI Integrated Solution of Intensive Sessions [PDF]

Journal of Geophysical Research: Solid Earth, 2022
Abstract Very Long Baseline Interferometry (VLBI) intensive (INT) sessions are critical for the rapid determination and densification of Universal Time 1‐Coordinate Universal Time (UT1‐UTC), which plays an important role in satellite geodesy and space exploration missions and is not predictable over longer time scales.
Harald Schuh, Maorong Ge, Susanne Glaser
exaly   +5 more sources

Potential of UT1–UTC Transfer to the Galileo Constellation Using Onboard VLBI Transmitters

Journal of Geodesy, 2022
UT1-UTC is one of the Earth orientation parameters (EOP) that can only be determined by very long baseline interferometry (VLBI), observing distant celestial sources to measure the Earth rotation angle. Earth orbiting satellites tracked from Earth are insensitive to this angle, and the orbit determination and time synchronization (ODTS) procedure for ...
Hakan Sert, Veronique Dehant, Özgur Karatekin   +2 more
exaly   +3 more sources

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Prediction of UT1-UTC by machine learning techniques

2022
<p>Machine Learning (ML) algorithms are used to learn from data and make data-driven predictions. These algorithms consider pattern recognition and computational learning on the data. Earth Orientation Parameters (EOP) are the monitoring parameters for the Earth’s rotation.
Sujata Dhar, Shashank Pathak, Robert Heinkelmann, Santiago Belda, Harald Schuh, Nagarajan Balasubramanian   +5 more
openaire   +2 more sources

Short-Term Prediction of UT1-UTC by Combination of the Grey Model and Neural Networks

Advances in Space Research, 2017
Abstract UT1-UTC predictions especially short-term predictions are essential in various fields linked to reference systems such as space navigation and precise orbit determinations of artificial Earth satellites. In this paper, an integrated model combining the grey model GM(1, 1) and neural networks (NN) are proposed for predicting UT1-UTC.
Dan-Dan Hu
exaly   +3 more sources

Modeling UT1-UTC and Polar Motion On-Board GPS Satellites

Navigation, Journal of the Institute of Navigation, 1984
Autonomous navigation of GPS satellites requires on-board knowledge of UT1-UTC and polar motion values. This study examines the ability of a fourth-order and fifth-order Fourier series to predict UT1-UTC values over six months based on one or three year BIH tables. Results show that UT1-UTC errors of approximately 40 ms occur over six months when three-
Raynor L Duncombe
exaly   +2 more sources

Estimation of the Subdiurnal UT1-UTC Variations by the Least Squares Collocation Method

Astronomical and Astrophysical Transactions, 2000
Abstract The result of the two-week VLBI experiment CONT'94 has been processed by the least squares collocation method to calculate the UT1-UTC time series with high temporal resolution (one value every few minutes). It allows us to estimate the influence of tidal variations arising from the world's oceans on the EOP.
O A Titov
exaly   +2 more sources

Impact of the Source Selection and Scheduling Optimization on the Estimation of UT1-UTC in VLBI Intensive Sessions

2023
With the help of Very Long Baseline Interferometry (VLBI), it is possible to determine a large number of parameters, including station and source coordinates as well as the Earth orientation parameters (EOP). Due to the limitation of observations of one hour single baseline sessions, so-called Intensive sessions, only a few parameters such as clock ...
Kern, Lisa Maria, Schartner, Matthias, Böhm, Johannes, Böhm, Sigrid, Nothnagel, Axel Gerhard, Soja, Benedikt   +5 more
openaire   +1 more source

Prediction of UT1-UTC Based on Combination of Weighted Least-Squares and Multivariate Autoregressive

Lecture Notes in Electrical Engineering, 2013
High accurate prediction of UT1-UTC is very important for high-precision aircraft navigation and positioning. In this paper, the weighted least-squares (WLS) combined with multivariate autoregressive (MAR) is proposed to predict UT1-UTC with different span.
Zhang-zhen Sun, Tian-he Xu
exaly   +2 more sources