Journal Published Online: 25 May 2021
Volume 50, Issue 1

Cross-Term Suppression Method for Time-Frequency Spectrum of Engineering Blasting Signals

CODEN: JTEVAB

Abstract

Engineering blasting vibration signals are affected by the test environment and contain noise and trend components, which leads to significant cross-term in the time-frequency (TF) distribution. To address these problems, a combined algorithm of matching pursuit (MP) and smooth pseudo-Wigner-Ville distribution (SPWVD) is proposed to suppress the TF spectrum cross-term and extract the signal features. An overcomplete atom library is constructed for signal feature matching according to sparse signal representation theory. Atomic reconstruction of the subsignal is achieved by MP decomposition, and the SPWVD distribution of the reconstructed subsignal is calculated and superimposed, yielding a more accurate TF expression of the blasting signal. The results show that the combined MP-SPWVD method can accurately suppress cross-term and improve the TF identification and feature analysis ability, which verifies the accuracy of its application in signal TF analysis. The combined algorithm is thus suitable for TF feature extraction of engineering blasting signals.

Author Information

Fu, Xiaoqiang
Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Xiamen, Fujian, China Department of Architecture and Civil Engineering, Sanming University, Sanming, Fujian, China Sanming Coffer Fine Chemical Industrial Co., Ltd., Sanming, Fujian, China
Yu, Jin
Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Xiamen, Fujian, China
Dai, Liangyu
Sanming Coffer Fine Chemical Industrial Co., Ltd., Sanming, Fujian, China
Liu, Jifeng
Department of Architecture and Civil Engineering, Sanming University, Sanming, Fujian, China
Huang, Jianguo
China Railway 12th Bureau Group No. 4 Engineering Co., Ltd., Xi’an, Shaanxi, China
Ren, Wenbin
China Railway 12th Bureau Group No. 4 Engineering Co., Ltd., Xi’an, Shaanxi, China
Pages: 20
Price: $25.00
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Stock #: JTE20210094
ISSN: 0090-3973
DOI: 10.1520/JTE20210094