DOAJ Open Access 2017

THz-SAR Vibrating Target Imaging via the Bayesian Method

Bin Deng Xin-yun Wang Cheng-guang Wu Yu-liang Qin Hong-qiang Wang

Abstrak

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.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (5)

Bin Deng

Xin-yun Wang

Cheng-guang Wu

Yu-liang Qin

Hong-qiang Wang

Format Sitasi

APA MLA BibTeX

Deng, B., Wang, X., Wu, C., Qin, Y., Wang, H. (2017). THz-SAR Vibrating Target Imaging via the Bayesian Method. https://doi.org/10.1155/2017/3706925

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Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.1155/2017/3706925
Akses: Open Access ✓