基于EMD和KL变换的时空联合探地雷达杂波抑制

doi:10.11720/wtyht.2024.1170

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Abstract

Due to factors such as environment,the signals received by ground-penetrating radar (GPR) contain various clutter interference,posing high challenges in subsurface anomaly interpretation and late-stage imaging.Clutter,primarily including noise,antenna-coupled waves,and surface direct waves,cannot be eliminated effectively using single data processing methods.Hence,this study proposed a spatiotemporal combined clutter suppression method. In the temporal dimension,threshold processing based on empirical mode decomposition(EMD) was applied to the data of all survey points in the echo profile,achieving effective noise removal.In the spatial dimension,the Karhunen-Loeve(KL) transform was employed to remove residual interference in the entire radar echo profile by utilizing the correlation of target echoes and the randomness of clutter at all survey points.Both theoretical simulation and measured data processing verify that the method proposed in this study is effective in eliminating clutter and highlighting weak signals.

Key words： ground penetrating radar clutter suppression empirical mode decomposition threshold processing KL transform

Received: 05 May 2023 Published: 16 April 2024

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TN957.52

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	Articles by authors
	Quan-Jie SHAO
	Ling-Zhi SUN

Cite this article:

Quan-Jie SHAO,Ling-Zhi SUN. Spatio-temporal combined ground-penetrating radar clutter suppression based on empirical mode decomposition and Karhunen-Loeve transform[J]. Geophysical and Geochemical Exploration, 2024, 48(2): 508-513.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2024.1170 OR https://www.wutanyuhuatan.com/EN/Y2024/V48/I2/508

Ground penetrating radar receiving signal model

Original ground penetrating radar signal(a) and signal after noise processing(b)

IMF₁~IMF₈ after EMD decomposition

Comparison between EMD improved threshold denoising(a) and wavelet denoising(b)

Comparison of SNR and RMSE

Actual measurement scenario and data processing
a—actual measurement scenario;b—measured echo data;c—EMD improved threshold denoising;d—wavelet denoising

Raw data and data processing results
a—original data;b—remove direct wave data;c—EMD improved threshold denoising;d—time-space two-dimensional clutter suppression

Comparison of image entropy

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