OMHT method for weak signal processing of GPR and its application in identification of concrete micro-crack

作     者：LING Tong-hua ZHANG Liang HUANG Fu GU Dan-ping YU Bin ZHANG Sheng 凌同华;张亮;黄阜;谷淡平;余彬;张胜

作者机构：School of Civil EngineeringChangsha University of Science and TechnologyChangsha 410114China Hunan Province Engineering Laboratory of Bridge StructureChangsha University of Science and TechnologyChangsha 410114China College of Civil EngineeringHunan City UniversityYiyang 413000China 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2019年第26卷第11期

页      面：3057-3065页

核心收录：

学科分类：0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0806[工学-冶金工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Projects(51678071,51608183)supported by the National Natural Science Foundation of China Projects(CX2018B530,CX2018B531)supported by the Postgraduate Research and Innovation-funded Project of Hunan Province,China Projects(16BCX13,16BCX09)supported by Changsha University of Science and Technology,China 

主　　题：orthogonal matching pursuit Hilbert transform shield tunnel lining structure hidden micro-crack 

摘      要：In the light of the problem of weak reflection signals shielded by strong reflections from the concrete surface,the detection and the recognition of hidden micro-cracks in the shield tunnel lining were studied using the orthogonal matching pursuit and the Hilbert transform(OMHT method).First,according to the matching pursuit algorithm and the strong reflection-forming mechanism,and based on the sparse representation theory,a sparse dictionary,adapted to the characteristics of the strong reflection signal,was selected,and a matching decomposition of each signal was performed so that the weak target signal submerged in the strong reflection was displayed more ***,the Hilbert transform was used to extract multiple parameters,such as the instantaneous amplitude,the instantaneous frequency,and the instantaneous phase,from the processed signal,and the ground penetrating radar(GPR)image was comprehensively analyzed and determined from multiple *** results show that the OMHT method can accurately weaken the effect of the strong impedance interface and effectively enhance the weak reflected signal energy of hidden micro-crack in the shield tunnel *** resolution of the processed GPR image is greatly improved,and the reflected signal of the hidden micro-crack is easily visible,which proves the validity and accuracy of the analysis method.