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...

Full description

Bibliographic Details
Main Author: Xu WANG,Hongzhou CHAI
Format: Article
Language:English
Published: Surveying and Mapping Press 2023-03-01
Series:Journal of Geodesy and Geoinformation Science
Subjects:
Online Access:http://jggs.chinasmp.com/fileup/2096-5990/PDF/1683188355213-172038334.pdf
_version_ 1797831093473247232
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