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International Journal of Antennas and Propagation
Volume 2015, Article ID 456123, 8 pages
http://dx.doi.org/10.1155/2015/456123
Research Article

Application of Support Vector Machines for Estimating Wall Parameters in Through-Wall Radar Imaging

1School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2Institute of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received 27 November 2014; Accepted 25 April 2015

Academic Editor: Jaume Anguera

Copyright © 2015 Hua-Mei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Zhang, Zhang, Wang, Wu, and Zhang, “An efficient method based on machine learning for estimation of the wall parameters in through-the-wall imaging,” International Journal of Remote Sensing, vol. 37, no. 13, pp. 3061–3073, 2016. View at Publisher · View at Google Scholar
  • Betül Yılmaz, and Caner Özdemir, “A detection and localization algorithm for moving targets behind walls based on one transmitter-two receiver configuration,” Microwave and Optical Technology Letters, vol. 59, no. 6, pp. 1252–1259, 2017. View at Publisher · View at Google Scholar
  • Mohammad Baharian, Hamid Rajabalipanah, Mohammad H. Fakheri, and Ali Abdolali, “Removing the wall effects using electromagnetic complex coating layer for ultra-wideband through wall imaging,” IET Microwaves, Antennas and Propagation, vol. 11, no. 4, pp. 477–482, 2017. View at Publisher · View at Google Scholar