高阶统计量弱信号识别方法在识别地质孔洞中的应用

 介绍了基于高阶统计量（HOS）的一种识别地质孔洞的新方法，该方法通过对探地雷达信号进行双谱时频分析（BTFA），提取由孔洞引起的信号高斯性变化来识别地下溶洞。理论分析和实验结果表明，HOS方法能够有效地识别出高斯信号强干扰下的非高斯微弱信号，对孔洞识别的结果直观、清晰。

Weak Signal Identification Method Based on Higher-order Statistics and Its Application in Detecting Cavities

Based on the higher-order-statistics (HOS), a new method for identifying geologic cavities was introduced. By bispectrum time-frequency analysis (BTFA) to GPR signals, the variation of Gaussian properties generated from the geologic cavities to identify it was obtained. Theoretical and experimental results indicated that, the higher-order-statistics method is capable of recognizing the non-Gaussian signals under the disturbance of the strong Gaussian noise, and it can obtain clearer results than traditional methods when being applied to detect cavities.