基于双曲线特征似然比检验的输电走廊采空区探地雷达目标检测方法

Likelihood Ratio Test Based on Hyperbolic Characteristic for Ground Penetrating Radar Target Detection Method in Goaf Area of Power Transmission Corridor

针对输电走廊采空区复杂地下介质环境中的探地雷达自动目标检测问题,提出了一种双曲线特征检测的广义似然比检验方法,该方法采用球不变随机过程描述非高斯杂波背景,通过对双曲线整体的假设检验来判断目标的有无,可充分利用目标特征与杂波统计特性以提高信杂噪比增益。在保证检测性能的前提下,进一步推导了双曲线特征广义似然比检验的近似实现形式,使运算复杂度大幅降低,且对背景杂波的分布类型不敏感,具有较高的工程应用价值。实验结果及分析验证了本文方法的检测性能。

This paper aimes at the automatic target detection of ground penetrating radar in goaf area of the power transmission corridor complex underground environment.A generalized likelihood ratio test(GLRT)of target's hyperbolic characteristic is proposed.In this method,the spherically invariant random process is used to describe the non-Gaussian clutter background.The hyperbola is tested as a whole to be decided whether it is originated from a target or not.So the target characteristic and the statistical properties are fully utilized to enhance the signal to clutter/noise ratio gain.Furthermore,an approximated GLRT is derived to simplify computation under the premise in detection performance.The approximated GLRT is insensitive to the distribution type of clutter,and in consequences,is of great engineering value.Experiments and the results analysis verify the performance of the proposed methods.