Application of Synchrosqueezing Short Fourier transform analysis in Ground Penetrating Radar thin layer Recognition

L. Qiao, Yao Qin
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Abstract

In order to meet the need of actual exploration, this paper makes a deep study of the thin layer's electromagnetic reflection properties. The Synchrosqueezing Short-Time Fourier Transform (SSTFT) is introduced into the thin layer identification. This method is highly adaptive to the given signal and makes the time-frequency plot more sharpen. Even the layer with the thickness of $\lambda/8$, the SSTFT analysis method can still pick up the top and bottom of the layer. The experiment on the and real data show that the method improves the time-frequency resolution and the layer recognition ability of the Ground Penetrating Radar signal.
同步压缩短傅里叶变换分析在探地雷达薄层识别中的应用
为了满足实际勘探的需要,本文对薄层的电磁反射特性进行了深入的研究。将同步压缩短时傅里叶变换(SSTFT)引入薄层识别中。该方法对给定信号的适应性强,使时频图更加清晰。即使是厚度为$\lambda/8$的层,SSTFT分析方法仍然可以拾取层的顶部和底部。实验结果表明,该方法提高了探地雷达信号的时频分辨率和层识别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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