THz-SAR Vibrating Target Imaging via the Bayesian Method
Joint Authors
Deng, Bin
Wang, Xin-yun
Wu, Cheng-guang
Qin, Yu-liang
Wang, Hong-qiang
Source
International Journal of Antennas and Propagation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Deng, Bin& Wang, Xin-yun& Wu, Cheng-guang& Qin, Yu-liang& Wang, Hong-qiang. 2017. THz-SAR Vibrating Target Imaging via the Bayesian Method. International Journal of Antennas and Propagation،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1158565
Modern Language Association (MLA)
Deng, Bin…[et al.]. THz-SAR Vibrating Target Imaging via the Bayesian Method. International Journal of Antennas and Propagation No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1158565
American Medical Association (AMA)
Deng, Bin& Wang, Xin-yun& Wu, Cheng-guang& Qin, Yu-liang& Wang, Hong-qiang. THz-SAR Vibrating Target Imaging via the Bayesian Method. International Journal of Antennas and Propagation. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1158565
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158565