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

Journal Article

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. © 2014 IEEE.

Full Text

Duke Authors

Cited Authors

  • Yang, H; Li, T; He, Z; Liu, QH

Published Date

  • January 1, 2014

Published In

Start / End Page

  • 139 - 143

International Standard Serial Number (ISSN)

  • 1097-5659

Digital Object Identifier (DOI)

  • 10.1109/RADAR.2014.6875572

Citation Source

  • Scopus