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THz-SAR Vibrating Target Imaging via the Bayesian Method

التفاصيل البيبلوغرافية
العنوان: THz-SAR Vibrating Target Imaging via the Bayesian Method
المؤلفون: Bin Deng, Xin-yun Wang, Cheng-guang Wu, Yu-liang Qin, Hong-qiang Wang
المصدر: International Journal of Antennas and Propagation, Vol 2017 (2017)
بيانات النشر: Wiley, 2017.
سنة النشر: 2017
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Cellular telephone services industry. Wireless telephone industry, HE9713-9715
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-5869
1687-5877
Relation: https://doaj.org/toc/1687-5869; https://doaj.org/toc/1687-5877
DOI: 10.1155/2017/3706925
URL الوصول: https://doaj.org/article/1ed5c455e7bf41aa99a519cabd1674e9
رقم الأكسشن: edsdoj.1ed5c455e7bf41aa99a519cabd1674e9
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16875869
16875877
DOI:10.1155/2017/3706925