A compressive sensing data acquisition and imaging method for impulse borehole radar

In this paper, a novel data acquisition and imaging method based on compressive sensing (CS) is utilized for impulse borehole radar (IBR). With the sparse transform we present for the IBR systems, only 50% or even less samples are demanded to be collected and transmitted to reconstruct the target space. It reduces the required sampling rate and data transmission rate of IBR systems. Moreover, the simulation and experiment results show that the target spaces reconstructed by CS-based imaging method are less cluttered, comparing with the solutions of traditional Stolt migration method.