中文摘要：

小波变换、经验模态分解、奇异值分解是提高探地雷达数据信噪比、突出深部异常的有效手段。笔者提出一种快速的短时傅里叶变换技术,对探地雷达噪声信号进行解译,利用雷达发射信号与噪声信号的频谱差异提高雷达数据的信噪比;并以数值算例进行验证,分别从单道波信号的频率能量差异,主频等值分布差异等方面详细分析了该方法与小波变换、经验模态分解方法的优势。结果表明,短时傅里叶分析技术能实现探地雷达数据的快速解译,为探地雷数据的反演成像提供更精确的约束条件。

英文摘要：

Wavelet transform,empirical mode decomposition and singular value decomposition are effective means to highlight the deep anomaly and improve the signal-to-noise ratio of ground penetrating radar （ GPR） data. This paper proposes a fast short-time Fourier transform technique for interpreting ground penetrating radar （GPR） noise signal.The frequency spectrum differences between transmit signal and noise signal are used to improve signal-to-noise ratio of radar data. It is verified by using a numerical example. The method and the wavelet transform as well as the advantage of empirical mode decomposition method are analyzed in detail respectively from sin-gle signal frequency energy difference, frequency equivalent distribution difference, and other aspects. The results show that the short time Fourier analysis technology can achieve rapid interpretation of GPR data and,for the ground penetrating radar data inversion ima-ging,it can provide more precise constraints.