利用地质雷达(GPR)提前识别、探明裂隙对于认识岩体结构、预防岩体灾变十分重要,由于多次反射、绕射等问题,地质雷达对于较复杂裂隙网络的探测结果识别解译困难,后向投影(BP)算法能够获得高分辨的雷达成像,但是传统BP算法成像中杂波干扰严重,降低了地质雷达成像效果和分辨率。据此提出了改进BP算法,利用待成像点在各道上的雷达响应值之间的相关性,通过2次快速互相关操作增强了对其他点的干扰的抑制作用,并采用电磁波衰减补偿系数对地质雷达成像结果进行补偿,实现提高地质雷达的成像效果的目的。针对几种典型的岩体裂隙网络开展了地质雷达正演模拟和基于改进BP算法的成像仿真,同时利用物理模型试验进行了验证,发现利用基于改进的BP算法可以实现对裂隙网络的位置和形态进行成像,与传统的BP算法相比具有更强的干扰抑制效果。
The groundpenetratingradar (GPR) can be used to identify and detect the rock fractures in advance,and it’s very important for the understanding of rock structures and the prevention of rock disasters. Due to the multiple reflections, diffractions and other issues, the identification and interpretationof the resultsfor GPR detectionwith more complexfracture networks is difficult.The back projection (BP) algorithm can be used to obtain high-resolution radar imaging, but the serious noise jamming of the traditional BP algorithm reduces the effect and resolution for GPR imaging. Therefore, an improvedBP algorithm that uses correlation among different tracks of the radar response of the point to be imaged is proposed. The improved BP algorithm uses 2 times of fast correlation operations to increase the inhibition of interferencein other points, and uses electromagnetic wave attenuation compensation parameter to enhance the effect of radar imaging. For several typical rock fracture networks, GPR forward modeling and imaging simulationare launched based on improved BP algorithm, while the physical modeltestsare verified, andit isfound thattheimproved BP algorithm canobtain theimaging of the location and shape of the fracture networks, and has stronger interference suppression effects, thanthetraditional BP algorithm.