Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array

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In this paper, we propose an Elevation-Radial scanned Synthetic Aperture Radar (E-RadSAR) for forward-looking ground penetrating radar (GPR) imaging. The E-RadSAR exploits the advantages of both RadSAR and Elevation-Circular SAR (E-CSAR) by utilizing the SAR technique in the cross- and down-range directions for signal acquisition. It could be implemented with fewer antennas compared to the RadSAR but provides higher spatial resolutions than that of E-CSAR. These features make it very attractive for space-and/or cost-constrained imaging applications, for instance, the GPR systems used for tunnel boring machines (TBM). However, the E-RadSAR synthesizes a three-dimensional (3-D) array by taking measurements in a volume, which makes the traditional sampling criterion no longer applicable for its sampling strategy design. To tackle 3-D (synthetic) array sampling/design, we formulate it as a sensor selection problem and suggest an efficient selection algorithm, i.e., modified clustered FrameSense (modified CFS). Then it is used for 3-D array sampling design. The imaging performances of the resultant near-optimal 3-D arrays are demonstrated through numerical simulations.

Original languageEnglish
Title of host publication13th European Conference on Antennas and Propagation, EuCAP 2019
Number of pages4
ISBN (Electronic)978-88-907018-8-7
ISBN (Print)978-1-5386-8127-5
Publication statusPublished - 1 Mar 2019
EventEuCAP 2019: 13th European Conference on Antennas and Propagation - Krakow, Poland
Duration: 31 Mar 20195 Apr 2019
Conference number: 13

Publication series

Name13th European Conference on Antennas and Propagation, EuCAP 2019


ConferenceEuCAP 2019
Abbreviated titleEuCAP

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Forward-looking imaging
  • Ground penetrating radar
  • Sampling design
  • Three-dimensional (3-D) synthetic array


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