Search search
Publication Date
to
Vol. 47
Latest Volume
All Volumes
PIERM 139 PIERM 138 PIERM 137 PIERM 136 PIERM 135 PIERM 134 PIERM 133 PIERM 132 PIERM 131 PIERM 130 PIERM 129 PIERM 128 PIERM 127 PIERM 126 PIERM 125 PIERM 124 PIERM 123 PIERM 122 PIERM 121 PIERM 120 PIERM 119 PIERM 118 PIERM 117 PIERM 116 PIERM 115 PIERM 114 PIERM 113 PIERM 112 PIERM 111 PIERM 110 PIERM 109 PIERM 108 PIERM 107 PIERM 106 PIERM 105 PIERM 104 PIERM 103 PIERM 102 PIERM 101 PIERM 100 PIERM 99 PIERM 98 PIERM 97 PIERM 96 PIERM 95 PIERM 94 PIERM 93 PIERM 92 PIERM 91 PIERM 90 PIERM 89 PIERM 88 PIERM 87 PIERM 86 PIERM 85 PIERM 84 PIERM 83 PIERM 82 PIERM 81 PIERM 80 PIERM 79 PIERM 78 PIERM 77 PIERM 76 PIERM 75 PIERM 74 PIERM 73 PIERM 72 PIERM 71 PIERM 70 PIERM 69 PIERM 68 PIERM 67 PIERM 66 PIERM 65 PIERM 64 PIERM 63 PIERM 62 PIERM 61 PIERM 60 PIERM 59 PIERM 58 PIERM 57 PIERM 56 PIERM 55 PIERM 54 PIERM 53 PIERM 52 PIERM 51 PIERM 50 PIERM 49 PIERM 48 PIERM 47 PIERM 46 PIERM 45 PIERM 44 PIERM 43 PIERM 42 PIERM 41 PIERM 40 PIERM 39 PIERM 38 PIERM 37 PIERM 36 PIERM 35 PIERM 34 PIERM 33 PIERM 32 PIERM 31 PIERM 30 PIERM 29 PIERM 28 PIERM 27 PIERM 26 PIERM 25 PIERM 24 PIERM 23 PIERM 22 PIERM 21 PIERM 20 PIERM 19 PIERM 18 PIERM 17 PIERM 16 PIERM 14 PIERM 13 PIERM 12 PIERM 11 PIERM 10 PIERM 9 PIERM 8 PIERM 7 PIERM 6 PIERM 5 PIERM 4 PIERM 3 PIERM 2 PIERM 1
All Journals
PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2016-03-30
Compressive Sensing SFGPR Imaging Algorithm Based on Subspace Projection Ground Clutter Suppression
By
Yanpeng Sun,

    Dr. Yanpeng Sun

    Department of Computer Science and Engineering

    Northeastern University

    China

    Homepage

Xiaodan Lu,

    Dr. Xiaodan Lu

    College of Electronic Information Engineering

    Shenyang Aerospace University

    China

    Homepage

Shi Zhang

    Dr. Shi Zhang

    Department of Computer Science and Engineering

    Northeastern University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 47, 87-97, 2016
doi:10.2528/PIERM16011503 | Google Scholar

Abstract
Stepped frequency ground penetrating radar (SFGPR) has received increasing attention in the field of ground penetrating radar technology due to its superiority in the detection performance. Compressed sensing (CS) SFGPR imaging reconstruction method can not merely reduce the measured imaging data volume, but also reconstruct target image with less sidelobe. However, the imaging algorithm using CS approach will lose efficacy in strong clutter environment. To solve this problem, a CS SFGPR imaging reconstruction method combined with subspace projection clutter suppression approach is proposed in this paper. First, all frequency domain data at each measurement position are reconstructed from reduced frequency measurements via sparse reconstruction technique. Then subspace projection ground clutter suppression technique is used to suppress the strong ground clutter. Finally, orthogonal matching pursuit (OMP) algorithm is utilized to reconstruct the underground target image. Synthetic and experimental data processing results have verified the effectiveness and accuracy of the proposed imaging method.
Download Full Article (969) View Full Article volume
Citation
Yanpeng Sun, Xiaodan Lu, and Shi Zhang, "Compressive Sensing SFGPR Imaging Algorithm Based on Subspace Projection Ground Clutter Suppression," Progress In Electromagnetics Research M, Vol. 47, 87-97, 2016.
doi:10.2528/PIERM16011503
References

1. Daniels, D. J., "Surface-penetrating radar," Electron. Commun. Eng. J., Vol. 8, No. 4, 165-182, 1996.
doi:10.1049/ecej:19960402        Google Scholar

2. Øyan, M. J., S. Hamran, L. Hanssen, and D. Plettemerier, "Ultrawideband gated step frequency ground-penetrating radar," IEEE Trans. Geosci. Remote Sens., Vol. 50, No. 1, 212-220, Jan. 2012.
doi:10.1109/TGRS.2011.2160069        Google Scholar

3. Nicolaescu, I., "Improvement of stepped-frequency continuous wave ground-penetrating radar cross-range resolution," IEEE Trans. Geosci. Remote Sens., Vol. 51, No. 1, 85-92, Jan. 2013.
doi:10.1109/TGRS.2012.2198069        Google Scholar

4. Counts, T., A. C. Gurbuz, W. R. Scott, J. H. McCellan, and K. Kim, "Multistatic ground-penetrating radar experiments," IEEE Trans. Geosci. Remote Sens., Vol. 45, No. 8, 2544-2553, Aug. 2007.
doi:10.1109/TGRS.2007.900677        Google Scholar

5. Zhuge, X. and A. G. Yarovoy, "Three-dimensional near-field MIMO array imaging using range migration techniques," IEEE Trans. Image Proc., Vol. 21, No. 6, 3026-3033, Jun. 2012.
doi:10.1109/TIP.2012.2188036        Google Scholar

6. Donoho, D., "Compressed sensing," IEEE Trans. Inf. Theory, Vol. 52, No. 4, 1289-1306, Apr. 2006.
doi:10.1109/TIT.2006.871582        Google Scholar

7. Candes, E. J., J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, Vol. 52, No. 2, 489-509, Feb. 2006.
doi:10.1109/TIT.2005.862083        Google Scholar

8. Cetin, M., I. Stojanovic, N. O. Onhon, K. R. Varshney, S. Samadi, W. C. Karl, and A. S. Willsky, "Sparsity-driven synthetic aperture radar imaging: Reconstruction, autofocusing, moving targets, and compressed sensing," IEEE Signal Process. Mag., Vol. 31, No. 4, 27-40, Jul. 2014.
doi:10.1109/MSP.2014.2312834        Google Scholar

9. Gurbuz, A. C., J. H. McClellan, and W. R. Scott, "A compressive sensing data acquisition and imaging method for stepped frequency GPRs," IEEE Trans. Signal Process, Vol. 57, No. 7, 2640-2650, Jul. 2009.
doi:10.1109/TSP.2009.2016270        Google Scholar

10. Suksmono, A. B., E. Bharata, A. A. Lestari, A. G. Yarovoy, and L. P. Ligthart, "Compressive stepped-frequency continous-wave ground penetrating radar," IEEE Geosci. Remote Sens. Lett., Vol. 7, No. 4, 665-669, Oct. 2010.
doi:10.1109/LGRS.2010.2045340        Google Scholar

11. Qu, L. and Y. Yang, "Investigation of air/ground reflection and antenna beamwidth for compressive sensing SFCW GPR migration imaging," IEEE Trans. Geosci. Remote Sens., Vol. 50, No. 8, 3143-3149, Aug. 2012.
doi:10.1109/TGRS.2011.2179049        Google Scholar

12. Tuncer, M. A. C. and A. C. Gurbuz, "Ground reflection removal in compressive sensing ground penetrating radars," IEEE Geosci. Remote Sens. Lett., Vol. 9, No. 1, 23-27, Jan. 2012.
doi:10.1109/LGRS.2011.2158981        Google Scholar

13. Yang, J., T. Jin, X. Huang, J. Thompson, and Z. Zhou, "Sparse MIMO array forward-looking GPR imaging based on compressed sensing in clutter environment," IEEE Trans. Geosci. Remote Sens., Vol. 52, No. 7, 4480-4494, Jul. 2014.
doi:10.1109/TGRS.2013.2282308        Google Scholar

14. Soldovieri, F., R. Solimene, L. L. Monte, M. Bavusi, and A. Loperte, "Sparse reconstruction from GPR data with applications to rebar detection," IEEE Trans. Instrum. Meas., Vol. 60, No. 3, 1070-1079, Mar. 2011.
doi:10.1109/TIM.2010.2078310        Google Scholar

15. Ambrosanio, M. and V. Pascazio, "A compressive-sensing-based approach for the detection and characterization of buried objects," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., Vol. 8, No. 7, 3386-3395, Jul. 2015.
doi:10.1109/JSTARS.2015.2421812        Google Scholar

16. Krueger, K. R., J. H. McClellan, and W. R. Scott, "Efficient algorithm design for GPR imaging of landmines," IEEE Trans. Geosci. Remote Sens., Vol. 53, No. 7, 4010-4021, Jul. 2015.
doi:10.1109/TGRS.2015.2388786        Google Scholar

17. Mayordomo, A. M. and A. Yarovoy, "Optimal background subtraction in GPR for humanitarian demining," Proc. 5th Eur. Radar Conf., 48-51, Oct. 2008.        Google Scholar

18. Kovalenke, V., A. Yarovoy, and L. P. Ligthart, "A novel clutter suppression algorithm for landmine detection with GPR," IEEE Trans. Geosci. Remote Sens., Vol. 45, No. 11, 3740-3751, Nov. 2007.
doi:10.1109/TGRS.2007.903694        Google Scholar

19. Abujarad, F., A. Jostingmeier, and A. S. Omar, "Clutter removal for landmine using different signal processing techniques," Proc. 10th Int. Conf. Ground Penetrating Radar, 697-700, Delft, The Netherlands, Jun. 2004.        Google Scholar

20. Hayashi, N. and M. Sato, "F-k filter designs to suppress direct waves for bistatic ground penetrating radar," IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 3, 1433-1444, Mar. 2010.
doi:10.1109/TGRS.2009.2032536        Google Scholar

21. Wu, R., J. Liu, T. Li, Q. Gao, H. Li, and B. Zhang, "Progress in the research of ground bounce removal for landmine detection with ground penetrating radar," PIERS Proceedings, 336-340, Hangzhou, China, Aug. 22-26, 2005.        Google Scholar

22. Solimene, R., A. Cuccaro, A. Dell’ Aversano, I. Catapano, and F. Soldovier, "Ground clutter removal in GPR surveys," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., Vol. 7, No. 3, 792-798, Mar. 2014.
doi:10.1109/JSTARS.2013.2287016        Google Scholar

23. Mallat, S. and Z. Zhang, "Matching pursuit with time-frequency dictionaries," IEEE Trans. Signal Process., Vol. 41, No. 12, 3397-3415, Dec. 1993.
doi:10.1109/78.258082        Google Scholar

24. Tropp, J. and A. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory, Vol. 53, No. 12, 4655-4666, Dec. 2007.
doi:10.1109/TIT.2007.909108        Google Scholar

25. Online Available: http://users.ece.gatech.edu/~wrscott.

Download Full Article (969) View Full Article volume


The EM Academy piers.org jpier.org Who's Who in EM
Copyright © 2022 The Electromagnetics Academy. All Rights Reserved.