| 基于变分模态分解的探地雷达信号分析方法 |
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| 引用本文： | 许军才,任青文,黄临平.基于变分模态分解的探地雷达信号分析方法[J].河海大学学报(自然科学版),2018,46(6):545-550. |
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| 作者姓名： | 许军才 任青文 黄临平 |
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| 作者单位： | 河海大学力学与材料学院, 江苏 南京 210098; 东华理工大学放射性地质与勘探技术国防重点学科实验室, 江西 南昌 330013,河海大学力学与材料学院, 江苏 南京 210098,东华理工大学放射性地质与勘探技术国防重点学科实验室, 江西 南昌 330013 |
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| 基金项目： | 国防重点学科实验室开放基金(RGET1502)；水利水运工程教育部重点实验室开放基金(SLK2017A02)；国家自然科学基金重点项目(11132003) |
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| 摘 要： | 将变分模态分解方法引入探地雷达信号处理中,针对探地雷达信号非平稳特征,利用变分模态分解原理建立探地雷达信号去噪方法。方法基于变分模态分解将雷达波信号分解为特征模态函数,再由样本熵决定高阶模态是否保留,实现白噪声去除。通过探地雷达Ricker子波和正演模型试验,检验该方法的正确性和有效性。与传统的小波变换、集成经验模态分解方法进行对比,研究探地雷达信号去噪效果,并将该方法用于分析实际工程探地雷达信号。研究表明,该方法能有效去除探地雷达信号中的噪声,在强干扰背景下,能获得高于20 d B的信噪比。
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| 关 键 词： | 小波变换 去噪处理 探地雷达 变分模态分解 |
GPR signal analysis method based on variational mode decomposition |
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| XU Juncai,REN Qingwen and HUANG Linping.GPR signal analysis method based on variational mode decomposition[J].Journal of Hohai University (Natural Sciences ),2018,46(6):545-550. |
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| Authors: | XU Juncai REN Qingwen and HUANG Linping |
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| Institution: | College of Mechanics and Materials, Hohai University, Nanjing 210098, China; Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China Institute of Technology, Nanchang 330013, China,College of Mechanics and Materials, Hohai University, Nanjing 210098, China and Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China Institute of Technology, Nanchang 330013, China |
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| Abstract: | The Variational Mode Decomposition(VMD)method is introduced into the GPR signal processing. According to the non-stationary characteristic of GPR signal, the method of signal de-noising based on VMD principle has been established. The VMD is used to decompose the radar wave signal into the intrinsic mode function(IMF), and then the entropy of sample is used to determine whether the higher-order IMF is reserved to remove the noise. The accuracy and validity of the method are verified by GPR with Ricker wavelet and forward model test of de-noising, and the proposed method is compared with the traditional wavelet transform and the EEMD(ensemble empirical mode decomposition)method. After that, this method is used to analyze the GPR signal of a practical engineering. The results show that the method can effectively remove the noise in the GPR data and can obtain above 20 dB signal-to-noise ratio(SNR)even under strong background. |
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| Keywords: | wavelet transform de-noise GPR Variational Mode Decomposition |
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