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International Journal of Antennas and Propagation
Volume 2017 (2017), Article ID 3706925, 10 pages
https://doi.org/10.1155/2017/3706925
Research Article

THz-SAR Vibrating Target Imaging via the Bayesian Method

College of Electronic Science and Engineering, National University of Defense Technology, 157 Deya Road, Changsha 410073, China

Correspondence should be addressed to Bin Deng; moc.361@gnedtigas

Received 18 September 2016; Revised 7 January 2017; Accepted 22 January 2017; Published 19 February 2017

Academic Editor: Lorenzo Crocco

Copyright © 2017 Bin Deng 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.

Abstract

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.