A New Spatial Filtering Algorithm for Noisy and Missing GNSS Position Time Series Using Weighted Expectation Maximization Principal Component Analysis: A Case Study for Regional GNSS Network in Xinjiang Province

A New Spatial Filtering Algorithm for Noisy and Missing GNSS Position Time Series Using Weighted Expectation Maximization Principal Component Analysis: A Case Study for Regional GNSS Network in Xinjiang Province

Common Mode Error (CME) presents a kind of spatially correlated error that is widespread in regional Global Navigation Satellite System (GNSS) networks and should be eliminated during postprocessing of a GNSS position time series. Several spatiotemporal filtering methods have been developed to mitig...

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Bibliographic Details
Main Authors: Wudong Li, Zhao Li, Weiping Jiang, Qusen Chen, Guangbin Zhu, Jian Wang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
common mode error
weighted expectation maximization principal component analysis
GNSS position time series
noisy and missing data
Online Access:https://www.mdpi.com/2072-4292/14/5/1295

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