• Feb 07, 2023 News!JACN will adopt Article-by-Article Work Flow. The benefit of article-by-article workflow is that a delay with one article may not delay the entire issue. Once a paper steps into production, it will be published online soon.   [Click]
  • May 30, 2022 News!JACN Vol.10, No.1 has been published with online version.   [Click]
  • Dec 24, 2021 News!Volume 9 No 1 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2016 Vol.4(1): 70-74 ISSN: 1793-8244
DOI: 10.18178/JACN.2016.4.1.206

A GPS Time Series Prediction Model Based on CEEMD

Jia Lu, Xing Chen, and Shuo Feng

Abstract—A GPS time series prediction model is presented, based on Complete Ensemble Empirical Mode Decomposition (CEEMD), which has the advantage of improving the prediction accuracy greatly. CEEMD is a new and improved version of Empirical Mode Decomposition, which decomposes a non-linear and non-stationary time series into a finite and often small number of Intrinsic Mode Functions (IMFs) and a residual. For each IMF and the residual, appropriate models are recommended to model them respectively. Due to the reversibility of the decomposition, the final predicted result of the GPS time series is available by summing up predicted results of all IMFs and the residual. Experiment results show that the proposed model behaves much better than the classical time series prediction model.

Index Terms—GPS, time series, complete ensemble empirical mode decomposition, intrinsic mode functions.

Jia Lu is with China Defense Science and Technology Information Center, Beijing, China, he is also with Xichang Satellite Launch Center, Sichuan, China (e-mail: lujia661@126.com).
Xing Chen and Shuo Feng are with Xichang Satellite Launch Center, Sichuan, China (e-mail: chenxok@gmail.com, fsing1987@163.com).


Cite:Jia Lu, Xing Chen, and Shuo Feng, "A GPS Time Series Prediction Model Based on CEEMD," Journal of Advances in Computer Networks vol. 4, no. 1, pp. 70-74, 2016.

Copyright © 2008-2024. Journal of Advances in Computer Networks.  All rights reserved.
E-mail: jacn@ejournal.net