Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Time-Delay and Amplitude Modified BP Imaging Algorithm of Multiple Targets for UWB Through-the-Wall Radar Imaging

  • Zhang, Huamei (School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications) ;
  • Li, Dongdong (School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications) ;
  • Zhao, Jinlong (School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications) ;
  • Wang, Haitao (School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications)
  • Received : 2014.11.17
  • Accepted : 2015.12.08
  • Published : 2017.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

In order to solve the undetected probability of multiple targets in ultra-wideband (UWB) through-the-wall radar imaging (TWRI), a time-delay and amplitude modified back projection (BP) algorithm is proposed. The refraction point is found by Fermat's principle in the presence of a wall, and the time-delay is correctly compensated. On this basis, transmission loss of the electromagnetic wave, the absorption loss of the refraction wave, and the diffusion loss of the spherical wave are analyzed in detail. Amplitude compensation is deduced and tested on a model with a single-layer wall. The simulating results by finite difference time domain (FDTD) show that it is effective in increasing the scattering intensity of the targets behind the wall. Compensation for the diffusion loss in the spherical wave also plays a main role. Additionally, the two-layer wall model is simulated. Then, the calculating time and the imaging quality are compared between a single-layer wall model and a two-layer wall model. The results illustrate the performance of the time-delay and amplitude-modified BP algorithm with multiple targets and multiple-layer walls of UWB TWRI.

Keywords

References

  1. H. J. Li and F. L. Lin, "Near-field imaging for conducting objects," IEEE Transactions on Antennas and Propagation, vol. 39, no. 5, pp. 600-605, 1999.
  2. W. J. Zhong, C. M. Tong, L. Xin, and G. Yang, "A novel near field imaging approach for through-wall imaging," in Proceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), Harbin, China, 2011, pp. 164-167.
  3. W. J. Zhi, F. Chin, and M. Y. W. Chia, "Near field imaging for breast cancer detection by UWB minimum variance beamforming," in Proceedings of IEEE International Conference on Ultra-Wideband, Waltham, MA, 2006, pp. 593-597.
  4. L. Chen and O. Y. Shan, "A time-domain beamformer for UWB through-wall imaging," in Proceedings of IEEE Region 10 Conference on TENCON, Taipei, Taiwan, 2007, pp. 1-4.
  5. L. Ma, Z. Z. Zhang, and X. Z. Tan, "Two-step imaging method and resolution analysis for UWB through wall imaging," in Proceedings of 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, China, 2008, pp. 1-5.
  6. G. Y. Wang, and M. G. Amin, "Imaging through unknown walls using different standoff distances," IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 4015-4025, 2006. https://doi.org/10.1109/TSP.2006.879325
  7. J. G. Liu, L. J. Kong, X. B. Yang, and Y. Jia, "Imaging auto-focusing with multi-layer non-homogeneous wall in through-wall-radar iamging," in Proceedings of IEEE Radar Conference, Atlanta, GA, 2012, pp. 0543-0546.
  8. F. Ahmad, Y. M. Zhang, and M. G. Amin, "three-dimensional wideband beamforming for imaging through a single wall," IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 2, pp. 176-179, 2008. https://doi.org/10.1109/LGRS.2008.915742
  9. M. Dehmollaian and K. Sarabandi, "Refocusing through building walls using synthetic aperture radar," IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 6, pp. 1589-1599, 2008. https://doi.org/10.1109/TGRS.2008.916212
  10. Y. Jia, L. J. Kong, and X. B. Yang, "Improved cross-correlated back-projection algorithm for through-wall-radar imaging," in Proceedings of IEEE Radar Conference, Ottawa, ON, 2013, pp. 1-3.
  11. D. Urdzik, D. Kocur, and J. Rovnakova, "Detection of multiple targets with enhancement of weak UWB radar signals for the purposes of through wall surveillance," in Proceedings of IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI), Herl'any, Slovakia, 2012, pp. 137-140.
  12. F. Ahmad, M. G. Amin, and S. A. Kassam, "Synthetic aperture beamformer for imaging through a dielectric wall," IEEE Transactions on Aerospace a d Electronic Systems, vol. 41, no. 1, pp. 271-283, 2005. https://doi.org/10.1109/TAES.2005.1413761
  13. L. Chen and O. Y. Shan, "Through-wall surveillance using ultra-wideband short pulse radar: numerical simulation," in Proceedings of 2nd IEEE Conference on Industrial Electronics and Applications (ICIEA), Harbin, China, 2007, pp. 1551-1554.
  14. W. T. Lei, Y. Su, and C. L. Huang, "A TAM-BP imaging algorithm in GPR application," in Proceedings of 4th International Conference on Microwave and Millimeter Wave Technology (ICMMT), Beijing, China, 2004, pp. 619-621.

Cited by

  1. Interaction Multipath in Through-the-Wall Radar Imaging Based on Compressive Sensing vol.18, pp.2, 2018, https://doi.org/10.3390/s18020549