An Imaging Method of MIMO GPR Based on Kirchhoff

With the continuous expansion of the underground detection scene， the traditional data acquisition method of GPR system is unable to meet the real-time requirements. In recent years， the real-time performance of MIMO radar has become increasingly prominent， so it is necessary to study the data processing and imaging methods of GPR based on MIMO. In this paper， based on the traditional GPR migration imaging method， aiming at the problem of spatial coupling of MIMO GPR， a new MIMO GPR imaging method based on Kirchhoff is proposed， and the strict proof of frequency domain is given. At the same time， the remote point compensation and refraction point approximation method are introduced to realize the real-time imaging of the ground in the case of spatial coupling. Finally， the gprMax simulation data is imaged by the proposed algorithm. The results show that the proposed algorithm can image the subsurface point target with a deviation of millimeter level， and also outperforms the traditional imaging methods in terms of imaging accuracy.