A compressive sensing data acquisition and imaging method for stepped frequency GPRs

  • Authors:
  • Ali Cafer Gurbuz;James H. McClellan;Waymond R. Scott

  • Affiliations:
  • Department of Electric and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey;School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA;School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 2009

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Abstract

A novel data acquisition and imaging method is presented for stepped-frequency continuous-wave ground penetrating radars (SFCW GPRs). It is shown that if the target space is sparse, i.e., a small number of point like targets, it is enough to make measurements at only a small number of random frequencies to construct an image of the target space by solving a convex optimization problem which enforces sparsity through l1 minimization. This measurement strategy greatly reduces the data acquisition time at the expense of higher computational costs. Imaging results for both simulated and experimental GPR data exhibit less clutter than the standard migration methods and are robust to noise and random spatial sampling. The images also have increased resolution where closely spaced targets that cannot be resolved by the standard migration methods can be resolved by the proposed method.