Adaptive-Correlation Back-Projection Imaging Algorithm for Ground Penetrating Radar in Complex Scenes

The current correlation back-projection algorithm can only deal with the imaging of objects at the same buried depth. However, for objects with different depths and different relative permittivity, the electromagnetic wave echo composition is complicated, there is no strong correlation between the time delays of the reflected echoes, the echo signal in the center of the detection area is used as a reference signal to perform consistent correlation processing, which will cause serious suppression. In this paper, an improved adaptive correlation algorithm was proposed. Firstly, the algorithm of maximum variance between clusters (OSTU) is used to extract the horizontal position and number of buried objects, and then the relevant parameters are adaptively adjusted according to the reflected energy and horizontal position of different targets. Finally, back-projection algorithm imaging is performed. Simulation experiments showed that the algorithm proposed in this paper can effectively improve the imaging effect, improve the detection probability of buried objects, and adapt to the variability of detection scenes.