一种反演地下介质参数的新算法

在探地雷达实际工程应用中，介质参数(主要是介电常数)是使用者正确定位地下目标深度或介质层厚度所必需的数据。该文提出一种基于MUSIC谱估计的地下介质参数反演算法，该算法通过对LFMCW GPR回波信号的时延和幅度估计，计算出精确的介质参数并进一步得到正确的地下介质结构。仿真结果表明：该文提出的反演算法在反演精确度上远远优于传统的电磁反演算法。

A New Algorithm for Underground Medium Parameters Inversion

When Ground Penetrating Radar is applied in actual projects, medium parameter (the permittivity is main) is a necessary data for users to position the depth of underground targets and the thickness of medium layers correctly. An inversion algorithm for underground medium parameter estimation based on MUSIC spectrum estimation is put forward in this paper. After estimating the time delay and amplitude of LFMCW GPR echo, the accurate medium parameter is worked out and then the right medium structure underground is gotten in succession. The simulating results show that the new algorithm improves much on the precision comparing with traditional electromagnetism inversion algorithms.