THz-SAR Vibrating Target Imaging via the Bayesian Method
Target vibration bears important information for target recognition, and terahertz, due to significant micro-Doppler effects, has strong advantages for remotely sensing vibrations. In this paper, the imaging characteristics of vibrating targets with THz-SAR are at first analyzed. An improved algorit...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2017/3706925 |
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| _version_ | 1841524437532278784 |
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| author | Bin Deng Xin-yun Wang Cheng-guang Wu Yu-liang Qin Hong-qiang Wang |
| author_facet | Bin Deng Xin-yun Wang Cheng-guang Wu Yu-liang Qin Hong-qiang Wang |
| author_sort | Bin Deng |
| collection | DOAJ |
| description | Target vibration bears important information for target recognition, and terahertz, due to significant micro-Doppler effects, has strong advantages for remotely sensing vibrations. In this paper, the imaging characteristics of vibrating targets with THz-SAR are at first analyzed. An improved algorithm based on an excellent Bayesian approach, that is, the expansion-compression variance-component (ExCoV) method, has been proposed for reconstructing scattering coefficients of vibrating targets, which provides more robust and efficient initialization and overcomes the deficiencies of sidelobes as well as artifacts arising from the traditional correlation method. A real vibration measurement experiment of idle cars was performed to validate the range model. Simulated SAR data of vibrating targets and a tank model in a real background in 220 GHz show good performance at low SNR. Rapidly evolving high-power terahertz devices will offer viable THz-SAR application at a distance of several kilometers. |
| format | Article |
| id | doaj-art-1ed5c455e7bf41aa99a519cabd1674e9 |
| 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-1ed5c455e7bf41aa99a519cabd1674e92025-02-03T05:53:04ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/37069253706925THz-SAR Vibrating Target Imaging via the Bayesian MethodBin Deng0Xin-yun Wang1Cheng-guang Wu2Yu-liang Qin3Hong-qiang Wang4College of Electronic Science and Engineering, National University of Defense Technology, 157 Deya Road, Changsha 410073, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, 157 Deya Road, Changsha 410073, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, 157 Deya Road, Changsha 410073, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, 157 Deya Road, Changsha 410073, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, 157 Deya Road, Changsha 410073, ChinaTarget vibration bears important information for target recognition, and terahertz, due to significant micro-Doppler effects, has strong advantages for remotely sensing vibrations. In this paper, the imaging characteristics of vibrating targets with THz-SAR are at first analyzed. An improved algorithm based on an excellent Bayesian approach, that is, the expansion-compression variance-component (ExCoV) method, has been proposed for reconstructing scattering coefficients of vibrating targets, which provides more robust and efficient initialization and overcomes the deficiencies of sidelobes as well as artifacts arising from the traditional correlation method. A real vibration measurement experiment of idle cars was performed to validate the range model. Simulated SAR data of vibrating targets and a tank model in a real background in 220 GHz show good performance at low SNR. Rapidly evolving high-power terahertz devices will offer viable THz-SAR application at a distance of several kilometers.http://dx.doi.org/10.1155/2017/3706925 |
| spellingShingle | Bin Deng Xin-yun Wang Cheng-guang Wu Yu-liang Qin Hong-qiang Wang THz-SAR Vibrating Target Imaging via the Bayesian Method International Journal of Antennas and Propagation |
| title | THz-SAR Vibrating Target Imaging via the Bayesian Method |
| title_full | THz-SAR Vibrating Target Imaging via the Bayesian Method |
| title_fullStr | THz-SAR Vibrating Target Imaging via the Bayesian Method |
| title_full_unstemmed | THz-SAR Vibrating Target Imaging via the Bayesian Method |
| title_short | THz-SAR Vibrating Target Imaging via the Bayesian Method |
| title_sort | thz sar vibrating target imaging via the bayesian method |
| url | http://dx.doi.org/10.1155/2017/3706925 |
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