Displacement Monitoring of a Bridge Based on BDS Measurement by CEEMDAN–Adaptive Threshold Wavelet Method

Displacement Monitoring of a Bridge Based on BDS Measurement by CEEMDAN–Adaptive Threshold Wavelet Method

From the viewpoint of BDS bridge displacement monitoring, which is easily affected by background noise and the calculation of a fixed threshold value in the wavelet filtering algorithm, which is often related to the data length. In this paper, a data processing method of Complete Ensemble Empirical...

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Bibliographic Details
Main Authors: Liu, X. (Author), Mo, C. (Author), Wang, G. (Author), Wang, W. (Author), Xiang, G. (Author), Yang, H. (Author), Zhou, Z. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Adaptive noise
adaptive threshold wavelet
Adaptive threshold wavelet
Adaptive thresholds
article
Beidou navigation system
beidou navigation system (BDS)
bridge monitoring
Bridge monitoring
Complete ensemble empirical mode decomposition with adaptive noise
complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)
correlation coefficient
Data handling
Data noise
data noise reduction
Data noise reduction
empirical mode decomposition
Empirical mode decomposition
Empirical Mode Decomposition
filtration
intrinsic mode function
Intrinsic mode functions
Navigation systems
noise
Noise abatement
noise reduction
Radio navigation
simulation
Wavelet decomposition
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