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Impact of GPR antenna height in estimating coal layer thickness using spatial smoothing techniques

在用空间变光滑的技术估计煤层厚度的 GPR 天线高度的影响

作     者:Thomas, Shweta B. Roy, Lakshi Prosad 

作者机构:Vellore Inst Technol Sch Elect Engn Vellore 632014 TN India Natl Inst Technol Dept Elect & Commun Engn Rourkela India 

出 版 物:《IET SCIENCE MEASUREMENT & TECHNOLOGY》 (IET科学、测量与技术)

年 卷 期:2020年第14卷第10期

页      面:906-912页

核心收录:

学科分类:0808[工学-电气工程] 08[工学] 

主  题:radar antennas coal ground penetrating radar smoothing methods radar resolution backscatter radar cross-sections correlation methods CW radar coal layer thickness high-resolution algorithms near-surface interface ground-penetrating radar surface-coupled antennas air-coupled antenna configuration target depth estimation air-gap distance air-coal-shale-coal interface step frequency continuous wave GPR antenna height estimation GPR antenna height impact spatial smoothing techniques backscattered echoes air-coal-shale-clay interface 

摘      要:High-resolution algorithms to estimate the depth of near-surface interface using ground-penetrating radar (GPR) can provide a measurement of thin to thick top layer using synthetic data for surface-coupled antennas. In practice, the air-coupled antenna configuration in the target depth estimation needs to determine the air-gap distance between the antenna module and the surface. In this study, the authors present an improved approach of estimating the antenna height for measuring thin to thick top coal layer using the high-resolution algorithms. In GPR, backscattered echoes are generally correlated in nature. In order to apply high-resolution algorithms, the authors use two improved spatial smoothing techniques for fighting against the correlation between echoes. Here, in the existence of air-coal-shale-clay and air-coal-shale-coal interface, step frequency continuous wave GPR is used to measure the thickness of the coal layer. Simulation results on the antenna height estimation using synthetic data models, full-wave model and plane wave model are shown to assess the estimation algorithm s effectiveness.

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