volume | PIER Journals

Abstract

Ground penetrating radar (GPR) has shown to provide useful results for detection of buried objects. However, its performance suffers from strong reflection from ground surface especially for shallowly buried targets. In such cases, the detection problem depends on the separation of the target signal from the ground backscatter such as landmines and unexploded ordnances. In this paper, we discuss and analyze the use of space-frequency time-reversal matrices for the enhancement of ground penetrating radar signals and potential clutter reduction. Through the use of sliding windows, submatrices from a given B-scan (radargram) are utilized to extract localized scattering information of a given detection scenario. Each sub-B-scan is decomposed to its singular vectors and later used to render synthetic aperture time-domain singular vector distributions corresponding to different scattering mechanisms. Later, they are weighted by the singular values and subtracted from the full B-scan to achieve reduced clutter and enhanced target response. The method shows satisfactory results for shallowly buried dielectric targets even in the presence of rough surface profiles.

1. Daniels, D. J., "Ground Penetrating Radar," IEE, 2004. Google Scholar

2. Dogaru, T. and L. Carin, "Time-domain sensing of targets buried under a rough air-ground interface," IEEE Trans. Antennas Propagat., Vol. 46, No. 3, 360-372, March 1998.
doi:10.1109/8.662655 Google Scholar

3. Brunzell, H., "Detection of shallowly buried objects using impulse radar," IEEE Trans. Geosci. Remote Sensing, Vol. 37, No. 2, 875-886, March 1999.
doi:10.1109/36.752207 Google Scholar

4. Potin, D., E. Duflos, and P. Vanheeghe, "Landmines ground-penetrating radar signal enhancement by digital filtering," IEEE Trans. Geosci. Remote Sens., Vol. 44, No. 9, 2393-2406, Sept. 2006.
doi:10.1109/TGRS.2006.875356 Google Scholar

5. Van der Merwe , A. and I. J. Gupta, "A novel signal processing technique for clutter reduction in GPR measurements of small, shallow land mines," IEEE Trans. Geosci. Remote Sensing, Vol. 38, No. 6, 2627-2637, Novembe 2000.
doi:10.1109/36.885209 Google Scholar

6. Xu, X., E. L. Miller, C. M. Rappaport, and G. D. Sower, "Statistical method to detect subsurface objects using array ground-penetrating radar data," IEEE Trans. Geosci. Remote Sensing, Vol. 40, No. 4, 963-976, April 2002.
doi:10.1109/TGRS.2002.1006391 Google Scholar

7. Gunatilaka, A. H. and B. A. Baertlein, "Subspace decomposition technique to improve gpr imaging of antipersonnel mines ," Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets, Vol. V, 1008, August 2000. Google Scholar

8. Abujarad, F., A. Jostingmeier, and A. Omar, "Clutter removal for landmine using different signal processing techniques," Proc. of the Tenth IEEE Int. Conf. on Ground Penetrating Radar GPR 2004, 697-700, June 2004. Google Scholar

9. Abujarad, F., G. Nadim, and A. Omar, "Clutter reduction and detection of landmine objects in ground penetrating radar data using singular value decomposition (SVD)," 2005 Proc. of the 3rd Int. Workshop on Advanced Ground Penetrating Radar IWAGPR, 37-42, May 2005.
doi:10.1109/AGPR.2005.1487840 Google Scholar

10. Solimene, R. and A. D'Alterio, "Entropy-based clutter rejection for intrawall diagnostics," International Journal of Geophysics, Vol. 2012, 7, 2012. Google Scholar

11. Brooks, J. W., L. M. V. Kempen, and H. Sahli, "Primary study in adaptive clutter reduction and buried minelike target enhancement from GPR data," Proc. SPIE, Vol. 4038, 1183-1192, 2000.
doi:10.1117/12.396226 Google Scholar

12. Vicen-Bueno, R., R. Carrasco-Alvarez, M. Rosa-Zurera, and J. Nieto-Borge, "Sea clutter reduction and target enhancement by neural networks in a marine radar system," Sensors, Vol. 9, No. 3, 1913-1936, 2009.
doi:10.3390/s90301913 Google Scholar

13. Roy, S. and J. Maheux, "Baseline processing pipeline for fast automatic target detection and recognition in airborne 3D ladar imagery," Proc. SPIE, Vol. 8049, 80490S, 2011.
doi:10.1117/12.883287 Google Scholar

14. Vicen-Bueno, R., M. Rosa-Zurera, M. Jarabo-Amores, and R. Gil-Pita, "Automatic target detection in simulated ground clutter (weibull distributed) by multilayer perceptrons in a low-resolution in simulated ground clutter (weibull distributed) by multilayer perceptrons in a low-resolution," IET Radar, Sonar & Navigation, Vol. 4, No. 2, 315-328, 2010.
doi:10.1049/iet-rsn.2009.0080 Google Scholar

15. Yavuz, M. E. and F. L. Teixeira, "Space-frequency ultrawideband time-reversal imaging ," IEEE Trans. Geosci. Remote Sensing, Vol. 46, No. 4, 1115-1124, 2008.
doi:10.1109/TGRS.2008.915755 Google Scholar

16. Fink, M., D. Cassereau, A. Derode, C. Prada, P. Roux, M. Tanter, J. Thomas, and F. Wu, "Timereversed acoustics," Rep. Prog. Phys., Vol. 63, 1933-1995, 2000.
doi:10.1088/0034-4885/63/12/202 Google Scholar

17. Fouda, A. E., F. L. Teixeira, and M. E. Yavuz, "Time-reversal techniques for MISO and MIMO wireless communication systems," Radio Sci., Vol. 47, No. RS0P02 , 2012. Google Scholar

18. Yavuz, M. E. and F. L. Teixeira, "Ultrawideband microwave sensing and imaging using time-reversal techniques: A review," Remote Sens., Vol. 1, No. 3, 466-495, 2009.
doi:10.3390/rs1030466 Google Scholar

19. Foroozan, F. and A. Asif, "Time-reversal ground-penetrating radar: Range estimation with Cramer-Rao lower bound," IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 10, 3698-3708, October 2010.
doi:10.1109/TGRS.2010.2047726 Google Scholar

20. Zhu, X., Z. Zhao, W. Yang, Y. Zhang, Z. Nie, and Q. H. Liu, "Iterative time-reversal mirror method for imaging the buried object beneath rough ground surface," Progress In Electromagnetics Research, Vol. 117, 19-33, 2011. Google Scholar

21. Potin, D., P. Vanheeghe, E. Du°os, and M. Davy, "An abrupt change detection algorithm for buried landmines localization," IEEE Trans. Geosci. Remote Sens., Vol. 44, No. 2, 260-272, Febuary 2006.
doi:10.1109/TGRS.2005.861413 Google Scholar

22. Moss, C. D., F. L. Teixeira, Y. E. Yang, and J. A. Kong, "Finite-diFFerence time-domain simulation of scattering from objects in continuous random media ," IEEE Trans. Geosci. Remote Sensing, Vol. 40, 178-186, 2002.
doi:10.1109/36.981359 Google Scholar

23. Yavuz, M. E., A. E. Fouda, and F. L. Teixeira, "Target classification through time-reversal operator analysis using ultrawideband electromagnetic waves," Proc. of the 5th European Conf. on Antennas and Propagation (EUCAP), 14-18, April 2011. Google Scholar

Dr. Mehmet Emre Yavuz

Dr. Ahmed E. Fouda

Prof. Fernando Lisboa Teixeira