Application of multi-filter algorithm based on ICEEMDAN in dynamic deformation monitoring of super high-rise structures

doi:10.13474/j.cnki.11-2246.2022.0095

Abstract

Abstract: Aiming at the multi-path errors and random noise in the monitoring data,a combined algorithm (IWPR) based on improved complete ensemble empirical mode decomposition with adaptive noise,wavelet packet decomposition and recursive least square algorithm is proposed.Firstly,the original signal is decomposed by ICEEMDAN to obtain a series of intrinsic mode function (IMF) components.Then,IMFs are divided into high-frequency IMF and low-frequency IMF on the basis of the mean of standardized accumulated modes (MSAM).Finally,considering the correlation coefficient,WP and RLS are employed to denoise the high-frequency and low-frequency IMF respectively.In order to acquire the dynamic displacement response of structures,both signals denoised by means of WP and RLS will be reconstructed.The results indicate that,compared with single algorithm EMD,CEEMDAN and ICEEMDAN,IWPR algorithm can eliminate the multi-path errors and random noise more effectively.And this algorithm can effectively improve the monitoring data accuracy of GNSS RTK.

Key words: GNSS RTK;super high-rise structures;dynamic deformation monitoring;multi-filter;denoising

CLC Number:

P258

XIONG Chunbao, PANG Hongxing, WANG Meng, SHI Qingfa. Application of multi-filter algorithm based on ICEEMDAN in dynamic deformation monitoring of super high-rise structures[J]. Bulletin of Surveying and Mapping, 2022, 0(3): 152-156.

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