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Ground Penetrating Radar Signal Processing Algorithm in Advance Detection of Coal Seam

机译:煤层超前探测中的探地雷达信号处理算法

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According to the electromagnetic propagation characteristics of Ground Penetrating Radar (GPR) in the medium, how to identify the target in coal seam using the relative permittivity of the dielectric object is studied, the identification algorithm of dielectric object based on electromagnetic echo field intensity with propagation loss and reflection loss are analyzed. The simulation results show that coal seam attenuation coefficient has extremely weak influence for echo field strength, when the relative permittivity of the dielectric object is less than 3, the phase of incident wave is the same as it in echo, when the relative permittivity of the dielectric object is more than 3, the situation is just opposite. Therefore, according to the echo field strength can probe gas and water contained in coal previously and efficiently and provide pre-judgment basis for the safety of coal mine.
机译:根据探地雷达在介质中的电磁传播特性,研究了如何利用介电物体的相对介电常数识别煤层中的目标,基于电磁回波场强度随传播的介电物体识别算法。分析了损耗和反射损耗。仿真结果表明,煤层衰减系数对回波场强的影响极弱,当介电质的相对介电常数小于3时,入射波的相位与回波中的相态相同;当介电质的相对介电常数时,入射波的相位与回波相同。介电对象大于3,情况正好相反。因此,根据回波场强可以预先,有效地探测煤中所含的瓦斯和水,为煤矿安全提供预判依据。

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