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Prediction of Polar Motion by Least-Squares Collocation
1990In this paper a procedure for predicting of pole positions using the least squares collocation approach is presented. Predicted pole coordinates are needed for a nearly “real-time” positioning. The main purpose of this work was to elaborate an efficient algorithm to evaluate x,y coordinates of the future pole positions, which would be as close as ...
Roman Galas, Rudolf Sigl
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Earth Polar Motion Parameters High Accuracy Differential Prediction
2014This paper proposes a method of Earth polar motion parameters prediction by dual differential least-squares (LS) and autoregressive (AR) model. Firstly, polar motion parameters are processed by dual differential method, the stationarity of polar motion parameters is improved.
Lue Chen +8 more
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Polar Motion Prediction with Derivative Information
Our study introduces a hybrid model that combines least-squares (LS) extrapolation of a linear trend and periodic components with a vector autoregression applied to LS residuals in an attempt of enhancing polar motion (x, y) predictions through incorporating its rates (derivatives; x', y').Marcin Ligas +4 more
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Autocovariance prediction of complex-valued polar motion time series
Advances in Space Research, 2002Abstract Autocovariance prediction formulae of complex-valued time series are derived and applied to predict pole coordinate data. The pole coordinate data are transformed into the polar motion radius and angular distance and afterwards their predictions are computed.
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Long-term prediction of polar motion using a combined SSA and ARMA model
Journal of Geodesy, 2017To meet the need for real-time and high-accuracy predictions of polar motion (PM), the singular spectrum analysis (SSA) and the autoregressive moving average (ARMA) model are combined for short- and long-term PM prediction. According to the SSA results for PM and the SSA prediction algorithm, the principal components of PM were predicted by SSA, and ...
Yi Shen +5 more
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The CNN-LSTM-attention model for short term prediction of the polar motion
Measurement Science and TechnologyAbstract The accuracy of polar motion (PM) prediction significantly impacts the fields of coordinate frame transformation, satellite orbit determination, and deep space exploration. The present study develops two short term forecasting models based on the EOP 14C04 series.
Leyang Wang, Haibo Que, Fei Wu
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A Method for Polar Motion Prediction Based on LS Model of Error Compensation
2017Polar motion is an important component of the Earth Rotation Parameter (ERP). Not only is it one of the necessary transformation parameters between International Celestial Reference Frame (ICRF) and International Terrestrial Reference Frame (ITRF), but it is also essential for deep space exploration mission and satellite ultra-fast precise orbit ...
Zhiwen Wang +3 more
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A Super-Long-Term Prediction Method of Earth Polar Motion Based on Spectrum Analysis
2021The super-long-term prediction technology of Earth Orientation Parameter (EOP) is a key foundation in autonomous orbit determination for earth-orbit spacecraft. Currently the classical prediction method of EOP is LS + AR, while the accuracy of periodic components and the corresponding frequency of EOP in the LS model is to affect the prediction ...
Weitao Lu +4 more
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Polar Motion Prediction by the Least-Squares Collocation Method
1990In this paper a method of prediction of polar motion for up to 75 days ahead has been proposed. The method is based on least-squares collocation. Two models of the deterministic part of polar motion have been considered. The first numerical results are presented.
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Combined BiLSTM and ARIMA models in middle- and long-term polar motion prediction
Studia Geophysica Et GeodaeticaShuhui Li, Kehao Yu, Honglei Yang
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