Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique
Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exp...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2017/1480623 |
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| _version_ | 1832565162056351744 |
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| author | Weixian Tan Pingping Huang Zengshu Huang Yaolong Qi Wenqin Wang |
| author_facet | Weixian Tan Pingping Huang Zengshu Huang Yaolong Qi Wenqin Wang |
| author_sort | Weixian Tan |
| collection | DOAJ |
| description | Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. In this paper, from an alternative viewpoint, we propose a novel interpolation-free imaging algorithm based on wavefront reconstruction theory. The algorithm is an extension of the 2D range stacking algorithm (RSA) with the advantages of low computational cost and high precision. The algorithm uses different reference signal spectrums at different range bins and then forms the target functions at desired range bin by a concise coherent summation. Several practical issues such as the propagation loss compensation, wavefront reconstruction, and aliasing mitigating are also considered. The sampling criterion and the achievable resolutions for the proposed algorithm are also derived. Finally, the proposed method is validated through extensive computer simulations and real-field experiments. The results show that accurate 3D image can be generated at a very high speed by utilizing the proposed algorithm. |
| format | Article |
| id | doaj-art-45ffbb3ff8da4b29b9574b1522305358 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-45ffbb3ff8da4b29b9574b15223053582025-02-03T01:09:05ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/14806231480623Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking TechniqueWeixian Tan0Pingping Huang1Zengshu Huang2Yaolong Qi3Wenqin Wang4School of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaSchool of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThree-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. In this paper, from an alternative viewpoint, we propose a novel interpolation-free imaging algorithm based on wavefront reconstruction theory. The algorithm is an extension of the 2D range stacking algorithm (RSA) with the advantages of low computational cost and high precision. The algorithm uses different reference signal spectrums at different range bins and then forms the target functions at desired range bin by a concise coherent summation. Several practical issues such as the propagation loss compensation, wavefront reconstruction, and aliasing mitigating are also considered. The sampling criterion and the achievable resolutions for the proposed algorithm are also derived. Finally, the proposed method is validated through extensive computer simulations and real-field experiments. The results show that accurate 3D image can be generated at a very high speed by utilizing the proposed algorithm.http://dx.doi.org/10.1155/2017/1480623 |
| spellingShingle | Weixian Tan Pingping Huang Zengshu Huang Yaolong Qi Wenqin Wang Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique International Journal of Antennas and Propagation |
| title | Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique |
| title_full | Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique |
| title_fullStr | Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique |
| title_full_unstemmed | Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique |
| title_short | Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique |
| title_sort | three dimensional microwave imaging for concealed weapon detection using range stacking technique |
| url | http://dx.doi.org/10.1155/2017/1480623 |
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