Position and Diameter Determination of Buried Cylindrical PEC Objects in Unknown Background Medium Using GPR

Document Type : Original Article

Authors

1 PhD Student, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

2 Assistant Professor, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

3 Professor, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

Ground penetrating radar (GPR) is a strong tool for non-destructive detection of buried targets. This radar can determine the location and shape of targets based on the received signals from the electromagnetic waves transmitted to the ground. In this paper, we intend to determine the depth and diameter of buried cylindrical conductor targets in an unknown background environment using the ground penetrating radar. Examples include the detection of water, oil or gas pipes buried under the ground. For this purpose, the SAR algorithm is used and a new method for estimating the depth and diameter of the scatterer is proposed, assuming that relative permittivity of the host environment is not known. The geometry of the problem is two-dimensional and the configuration of the antennas is similar to that of the commercial ones, which is multi-monostatic. For assessment, the proposed method is implemented on the raw data related to buried targets at the depth of 1m. The GPRMAX_2Dsoftware is used to provide raw data to reconstruct the shape of scatterer. Results show that the scatterer depth and diameter are estimated with acceptable accuracy.

Keywords

References

[1]     E. C. Utsi, “Ground penetrating radar: theory and practice,” Butterworth-Heinemann, 2017.##
[2]     D. J. Daniels, “Ground penetrating radar,” Encyclopedia of RF and Microwave Engineering, 2005.##
[3]      E. R. Almeida, J. L. Porsani, I. Catapano, G. Gennarelli and F. Soldovieri, “Microwave Tomography-Enhanced GPR in Forensic Surveys: The Case Study of a Tropical Environment,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 1, pp. 115-124, Jan. 2016.##
[4]     R. Solimene, A. Buonanno, R. Pierri, and F. Soldovieri, “Shape reconstruction of 3D metallic objects via a physical optics distributional approach,” AEU - International Journal of Electronics and Communications, vol. 64, no. 2, pp.   142-151, 2010.##
[5]     R. Solimene, I. Catapano, G. Gennarelli, A. Cuccaro, A. Dell'Aversano, and F. Soldovieri, “SAR Imaging Algorithms and Some Unconventional Applications: A unified mathematical overview,” in IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 90-98, July 2014.##
[6]     E. Pettinelli et al., “GPR response from buried pipes: Measurement on field site and tomographic reconstructions,” IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 8, pp. 2639-2645, 2009.##
[7]     R. Pierri, A. Liseno, R. Solimene, and F. Soldovieri, “Beyond physical optics SVD shape reconstruction of metallic cylinders,” IEEE Transactions on Antennas and Propagation, vol. 54, no. 2, pp. 655-665, 2006.##
[8]     A. V. Ristic, D. Petrovacki, and M. Govedarica, “A new method to simultaneously estimate the radius of a cylindrical object and the wave propagation velocity from GPR data,” Computers & Geosciences, vol. 35, no. 8, pp. 1620-1630, 2009.##
[9]     R. Ghozzi, S. Lahouar, and C. Souani, “An Innovative Technique for Estimating the Radius of Buried Cylindrical Targets Using GPR,” in Advances in Remote Sensing and Geo Informatics Applications: Springer, pp. 151-154, 2019.##
[10]  A. Cataldo, E. De Benedetto, G. Cannazza, G. Leucci, L. De Giorgi, and C. Demitri, “Enhancement of leak detection in pipelines through time-domain reflectometry/ground penetrating radar measurements,” in IET Science, Measurement & Technology, vol. 11, no. 6, pp. 696-702, 2017.##
[11]  A. Klotzsche, F. Jonard, M. C. Looms, J. van der Kruk, and J. A. Huisman, “Measuring soil water content with ground penetrating radar: A decade of progress,” Vadose Zone Journal, vol. 17, no. 1, pp. 1-9, 2018.##
[12]  R. Persico and F. Soldovieri, “Effects of uncertainty on background permittivity in one-dimensional linear inverse scattering,” JOSA A, vol. 21, no. 12, 2004.##
[13]  F. Soldovieri, G. Prisco, and R. Persico, “A strategy for the determination of the dielectric permittivity of a lossy soil exploiting GPR surface measurements and a cooperative target,” Journal of Applied Geophysics, vol. 67, no. 4, pp. 288-295, 2009.##
[14]  M. Sahebkari, R. Roohi, H. Atefi, M. S. Majedi, and A. R. Attari, “Positioning of A 2-D PEC Buried Object in an Unknown Host Medium Using Kirchhoff-Based Shape Reconstruction Algorithm,” in Electrical Engineering (ICEE), Iranian Conference on, IEEE, pp. 716-719, 2018.##
[15]  C. Warren, A. Giannopoulos, and I. Giannakis, “gprMax: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar,” Computer Physics Communications, vol. 209, pp. 163-170, 2016.##
[16]  R. Solimene, A. Cuccaro, A. Dell'Aversano, I. Catapano, and F. Soldovieri, “Background removal methods in GPR prospecting,” in 2013 European Radar Conference, IEEE, pp. 85-88, 2013.##

Files

History

  • Receive Date: 06 November 2020
  • Revise Date: 18 March 2021
  • Accept Date: 03 July 2021
  • Publish Date: 23 September 2021

Share

How to cite

Statistics