Accuracy Enhancement and Feature Extraction for GNSS Daily Time Series Using Adaptive CEEMD-Multi-PCA-Based Filter

Accuracy Enhancement and Feature Extraction for GNSS Daily Time Series Using Adaptive CEEMD-Multi-PCA-Based Filter

Global navigation satellite system (GNSS) positions include various useful signals and some unmodeled errors. In order to enhance the accuracy and extract the features of the GNSS daily time sequence, an improved method of complete ensemble empirical mode decomposition (CEEMD) and multi-PCA (MPCA) b...

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Bibliographic Details
Main Authors: Yanyan Li, Linqiao Han, Xiaolei Liu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
GNSS
feature extraction
denoising
empirical mode decomposition
PCA
Online Access:https://www.mdpi.com/2072-4292/15/7/1902

Internet

https://www.mdpi.com/2072-4292/15/7/1902

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