Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias
A new prediction method based on the nonlinear autoregressive model is proposed to improve the accuracy of medium-term and long-term predictions of Satellite Clock Bias (SCB). Forecast experiments for three time periods were implemented based on the precision SCB published on the International GNSS...
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Format: | Article |
Language: | English |
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Surveying and Mapping Press
2023-03-01
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Series: | Journal of Geodesy and Geoinformation Science |
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Online Access: | http://jggs.chinasmp.com/fileup/2096-5990/PDF/1683188355213-172038334.pdf |
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author | Xu WANG,Hongzhou CHAI |
author_facet | Xu WANG,Hongzhou CHAI |
author_sort | Xu WANG,Hongzhou CHAI |
collection | DOAJ |
description | A new prediction method based on the nonlinear autoregressive model is proposed to improve the accuracy of medium-term and long-term predictions of Satellite Clock Bias (SCB). Forecast experiments for three time periods were implemented based on the precision SCB published on the International GNSS Server (IGS) server. The results show that the medium-term and long-term prediction accuracy of the proposed approach is significantly better compared to other traditional models, with the training time being much shorter than the wavelet neural network model. |
first_indexed | 2024-04-09T13:46:31Z |
format | Article |
id | doaj.art-fbc2412839a64b8bbd7c9e8b1e208179 |
institution | Directory Open Access Journal |
issn | 2096-5990 |
language | English |
last_indexed | 2024-04-09T13:46:31Z |
publishDate | 2023-03-01 |
publisher | Surveying and Mapping Press |
record_format | Article |
series | Journal of Geodesy and Geoinformation Science |
spelling | doaj.art-fbc2412839a64b8bbd7c9e8b1e2081792023-05-09T04:00:41ZengSurveying and Mapping PressJournal of Geodesy and Geoinformation Science2096-59902023-03-0161475810.11947/j.JGGS.2023.0104Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock BiasXu WANG,Hongzhou CHAI01. School of Resources and Civil Engineering, Liaoning Institute of Science and Technology, Benxi 117004, China;2. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaA new prediction method based on the nonlinear autoregressive model is proposed to improve the accuracy of medium-term and long-term predictions of Satellite Clock Bias (SCB). Forecast experiments for three time periods were implemented based on the precision SCB published on the International GNSS Server (IGS) server. The results show that the medium-term and long-term prediction accuracy of the proposed approach is significantly better compared to other traditional models, with the training time being much shorter than the wavelet neural network model.http://jggs.chinasmp.com/fileup/2096-5990/PDF/1683188355213-172038334.pdf|satellite clock bias (scb)|median absolute deviation (mad)|wavelet threshold|nonlinear autoregressive model |
spellingShingle | Xu WANG,Hongzhou CHAI Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias Journal of Geodesy and Geoinformation Science |satellite clock bias (scb)|median absolute deviation (mad)|wavelet threshold|nonlinear autoregressive model |
title | Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias |
title_full | Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias |
title_fullStr | Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias |
title_full_unstemmed | Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias |
title_short | Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias |
title_sort | developing an innovative high precision approach to predict medium term and long term satellite clock bias |
topic | |satellite clock bias (scb)|median absolute deviation (mad)|wavelet threshold|nonlinear autoregressive model |
url | http://jggs.chinasmp.com/fileup/2096-5990/PDF/1683188355213-172038334.pdf |
work_keys_str_mv | AT xuwanghongzhouchai developinganinnovativehighprecisionapproachtopredictmediumtermandlongtermsatelliteclockbias |