| 基于变分模态分解算法的探地雷达信号去噪研究 |
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| 引用本文： | 冉利民,李健伟,杜娟,程思远,宋二乔,刘四新.基于变分模态分解算法的探地雷达信号去噪研究[J].世界地质,2022(1):198-207. |
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| 作者姓名： | 冉利民 李健伟 杜娟 程思远 宋二乔 刘四新 |
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| 作者单位： | 中石化经纬有限公司;吉林大学地球探测科学与技术学院 |
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| 基金项目： | 国家自然科学基金项目(42074146,41874136)。 |
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| 摘 要： | 探地雷达信号属于非平稳信号,容易受到干扰噪声影响导致探测能力降低.为了消除雷达信号的噪声,经验模态分解(EMD)、总体经验模态分解(EEMD)和完全总体经验模态分解(CEEMD)等方法被应用到雷达数据处理中.EMD虽然不断被改进,但仍存在一些不足,例如容易受到噪声干扰,存在模态混叠现象,依赖经验性等问题.因此笔者采用变...
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| 关 键 词： | 探地雷达 经验模态分解 总体经验模态分解 完全总体经验模态分解 变分模态分解 |
Ground penetrating radar signal denoising based on variational mode decomposition |
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| RAN Limin,LI Jianwei,DU Juan,CHENG Siyuan,SONG Erqiao,LIU Sixin.Ground penetrating radar signal denoising based on variational mode decomposition[J].World Geology,2022(1):198-207. |
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| Authors: | RAN Limin LI Jianwei DU Juan CHENG Siyuan SONG Erqiao LIU Sixin |
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| Institution: | (Sinopec Matrix Corporation,Zhengzhou 450000,China;College of Geo-exploration Science and Technology,Jilin University,Changchun 130026,China) |
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| Abstract: | The ground penetrating radar signal is a non-stationary signal,which is susceptible to the influence of interference noise that will reduce the detection ability.In order to eliminate the noise of radar signals,methods such as empirical mode decomposition(EMD),ensemble empirical mode decomposition(EEMD),and complete ensemble empirical mode decomposition(CEEMD)are applied to radar data processing.Although the EMD has been continuously improved,it still has some shortcomings,such as being vulnerable to noise interference,modal aliasing,and relying on experience.Therefore,the authors adopt the variational mode decomposition(VMD)method to process the ground penetrating radar signal.The EMD,EEMD,CEEMD,and VMD algorithms are used to decompose the noisy signal synthesized by sine and cosine signals and Gaussian white noise.After analysis and comparison,it is proved that the VMD algorithm can avoid modal aliasing and has higher time frequency accuracy and resolution.The focus is on the processing of synthesized and measured signals.First,the signal is decomposed and the optimized IMF components are selected,and then the data is recombined to form a new image.After the final processing,the peak signal-to-noise ratio of the ground penetrating radar signal increased from 15.4 dB to 20.3 dB,and the underground stratification capability was significantly improved,achieving the desired effect. |
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| Keywords: | GPR EMD EEMD CEEMD VMD |
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