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International Journal of Antennas and Propagation
Volume 2014, Article ID 428053, 24 pages
Research Article

Moving Target Imaging and Ghost Mitigation in Through-the-Wall Sensing Application

College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China

Received 29 October 2013; Revised 25 February 2014; Accepted 13 March 2014; Published 2 July 2014

Academic Editor: Lorenzo Crocco

Copyright © 2014 Xin Sun 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.


Human is one kind of the most interesting targets in through-the-wall imaging. In high-resolution imaging applications, human is no longer a point target. Therefore, the previous signal models constructed by point target assumption cannot accurately describe real characteristics of EM propagation. We construct the signal models based on extended target theory in this paper. Compared with previous works, the main contributions are as follows. Firstly, human is considered as an extended target. The expressions of target scattering and wall reflections are derived. Secondly, target scattering is no longer isotropic in new model. A new kind of ghost problem which is caused by target obscuring in EM propagation is discovered and exploited. Thirdly, to improve image quality in moving target imaging, an efficient approach which adopts CFAR, clustering method, and spatial geometry relationship is proposed to remove the ghosts. The derived models are shown to agree with synthetic and experimental results. And the efficiency of proposed method is also validated, which illuminates that the ghosts are efficiently mitigated and the image quality is significantly improved.