Impulse Borehole Radar Imaging Based on Compressive Sensing

摘要

A novel data acquisition and imaging method based on compressive sensing is utilized for impulse borehole radar (IBR). With the sparse transform that we present for IBR systems, only 50% or even less samples are needed to be collected and transmitted to reconstruct the target space, which reduces the sampling rate and data transmission rate of IBR systems. The simulation and experiment results show that the proposed method is more robust in noise environment and the reconstructed target spaces have less artifacts compared with the solutions of the traditional Stolt migration method.