The Research on Time Series Modeling of ARMA and Medium/Long-Term Forecasting Method Using Global Ionospheric Harmonic Coefficient-Reference-Cited by-同舟云学术

The Research on Time Series Modeling of ARMA and Medium/Long-Term Forecasting Method Using Global Ionospheric Harmonic Coefficient

Published:2017 Issue: Volume: Page:561-576
ISSN:1876-1100
Container-title:China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I
language:
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Author:

Chen Xiude,Jia Xiaolin,Zhu Yongxing,Cheng Na,Gao Shengyang,Guan Meiqian

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-4588-2_48

Reference14 articles.

1. Tian L et al (2011) Comparative analysis of studying on GPS station non-linear variation. Eng Surv Mapp 20(2):27–30

2. Tian L et al (2012) Study on ARMA model based on GPS station coordinate residual series [J]. J Geod Geodyn 32(2):124–127

3. Han WH (2012) The application of inequality constraints least squares in global ionospheric mapping with IGS ground based GNSS network. Wuhan University Press, Wuhan

4. Deng ZX (2012) Study on the ionospheric TEC storm and its forecasting method. Wuhan University Press, Wuhan

5. Liu J, Chai H, Liu X (2010) A predicting model of ionospheric based on ARIMA (p,1,1). J Geod Geodyn 30(3):79–82

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1. Modelling and forecasting of ionospheric TEC irregularities over a low latitude GNSS station;Astrophysics and Space Science;2020-10

2. Linear time-series modeling of the GNSS based TEC variations over Southwest Japan during 2011–2018 and comparison against ARMA and GIM models;Acta Astronautica;2019-12

3. Development of multivariate ionospheric TEC forecasting algorithm using linear time series model and ARMA over low-latitude GNSS station;Advances in Space Research;2019-05

4. Ionospheric TEC from the Turkish Permanent GNSS Network (TPGN) and comparison with ARMA and IRI models;Astrophysics and Space Science;2017-08-29