Articles | Volume 31, issue 1
Research article
21 Feb 2024
Research article |  | 21 Feb 2024

Extraction of periodic signals in Global Navigation Satellite System (GNSS) vertical coordinate time series using the adaptive ensemble empirical modal decomposition method

Weiwei Li and Jing Guo


Total article views: 871 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
718 125 28 871 23 19
  • HTML: 718
  • PDF: 125
  • XML: 28
  • Total: 871
  • BibTeX: 23
  • EndNote: 19
Views and downloads (calculated since 17 Oct 2023)
Cumulative views and downloads (calculated since 17 Oct 2023)

Viewed (geographical distribution)

Total article views: 871 (including HTML, PDF, and XML) Thereof 844 with geography defined and 27 with unknown origin.
Country # Views %
  • 1


Latest update: 24 May 2024
Short summary
Improper handling of missing data and offsets will affect the accuracy of a signal of interest. The trend in GNSS belonging to GLOSS is key to getting the absolute sea level. However, this is affected by the periodic signals that are included. Although adaptive EEMD is capable of extracting periodic signals, missing data and offsets are ignored in previous work. Meanwhile, the time-varying periodic characteristics derived by adaptive EEMD are more conducive to analyzing the driving factors.