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B-scan wave outline analysis in numerical modeling of ground-penetrating radar response from layered rough interfaces

DOI:10.1002/mop.31498 期刊:Microwave and Optical Technology Letters 出版年份:2019 更新时间:2025-09-23 15:22:29
摘要: Imaging of rough interfaces in a layered structure requires full understanding of the characteristics of their ground penetrating radar (GPR) echoes. In this study, a finite-difference time-domain computational model using a uniaxial perfectly matched layer boundary for GPR demining of layered rough interfaces is constructed. On the basis of this model, the numerical results of B-scan echoes from two-layered and three-layered rough interfaces with different degrees of roughness are obtained and compared with the profiles of corresponding rough surfaces. These results and comparisons highlight the relationship between the B-scan wave outlines and the profile of the layered rough interfaces. The effect of roughness of the interface on the B-scan echoes are analyzed, and the influence of the upper rough surface profile on the shape of the B-scan wave outline from the lower rough surface is discussed.
作者: Ying Liu,Li-Xin Guo
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Investigating the relationship between B-scan wave outlines and the profiles of layered rough interfaces in ground-penetrating radar (GPR) responses, and analyzing the influence of upper rough surface profiles on the echoes from lower surfaces.

The shape of the B-scan wave outline from the top rough surface can reflect its profile, but for lower surfaces, the outlines are affected by scattering from upper surfaces. When all layered surfaces have identical profiles, their wave outlines match the profiles. For surfaces with different profiles or roughness, the lower the surface position, the greater the deviation between wave outline and profile, especially with larger upper surface roughness. These findings aid in understanding GPR echoes for improved imaging of layered rough interfaces.

The study is based on numerical simulations using the FDTD method, which may have limitations in accurately modeling real-world complexities such as varying material properties and environmental conditions. The use of Gaussian rough surfaces may not fully represent all natural rough interfaces. The model is 2-D, which might not capture 3-D scattering effects. The analysis focuses on specific roughness parameters and media, potentially limiting generalizability.

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