GPR signal de-noising by discrete wavelet transform |
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Authors: | Jamel Baili Samer Lahouar Mounir Hergli Imad L Al-Qadi Kamel Besbes |
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Affiliation: | aMicroelectronic and Instrumentation Laboratory, Faculty of Sciences of Monastir, Tunisia;bDepartment of Electronics, Institut Supérieur des Sciences Appliquées et de Technologie de Sousse, Cité Taffala, Ibn Khaldoun, Sousse 4003, Tunisia;cDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N Mathews, Urbana, IL 61801, USA |
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Abstract: | Ground penetrating radar (GPR) is a non-destructive investigation tool used for several applications related to civil infrastructures; including buried objects detection and structural condition evaluation. Although GPR can be effectively used to survey structures, signal analysis can be sometimes challenging. The GPR signals can be easily corrupted by noise because the GPR receiver has usually an ultra-wide bandwidth (UWB). The noise collected by the system can easily mask relatively weak reflections resulting from the inhomogeneities within the surveyed structure; especially when they are at a relatively deep location. This paper presents the use of discrete wavelet transform (DWT) to de-noise the GPR signals. Various mother wavelets were used in this study to de-noise experimental GPR signals collected from flexible pavements. The performance of wavelet de-noising was evaluated by computing the signal-to-noise ratio (SNR) and the normalized root-mean-square error (NRMSE) after de-noising. The study found that wavelet de-noising approach outperforms traditional frequency filters such as the elliptic filter. At the same level of decomposition, the Daubechies order 6 and Symlet order 6 outperform the Haar and Biorthogonal mother wavelets when de-noising GPR signals by soft thresholding. |
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Keywords: | Wavelet transform DWT GPR Signal de-noising Soft threshold |
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