Three-dimensional reverse-time migration applied to a MIMO GPR system for subsurface imaging

Compared with a conventional single-channel GPR system, a GPR system with a multi-input and multioutput (MIMO) antenna array is not only more efficient in 3D data acquisition, but also allows the collection of a multi-offset dataset, thereby providing additional information for more effective subsurface imaging. We develop a three-dimensional (3-D) reverse time migration (RTM) algorithm for processing MIMO GPR data. The finite-difference time-domain method with a convolutional perfect matching layer boundary is used to simulate the propagation of electromagnetic waves in subsurface dissipative media. The range and lateral resolution of a MIMO GPR system, which works at a stationary mode, is analyzed by numerical experiments. Furthermore, results of laboratory experiments would be presented in the extended abstract.