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The method of micro-motion cycle feature extraction based on confidence coefficient evaluation criteria
Author(s): Chuanzi Tang; Hongmei Ren; Li Bo; Huang Jing
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Paper Abstract

In radar target recognition, the micro motion characteristics of target is one of the characteristics that researchers pay attention to at home and abroad, in which the characteristics of target precession cycle is one of the important characteristics of target movement characteristics. Periodic feature extraction methods have been studied for years, the complex shape of the target and the scattering center stack lead to random fluctuations of the RCS. These random fluctuations also exist certain periodicity, which has a great influence on the target recognition result. In order to solve the problem, this paper proposes a extraction method of micro-motion cycle feature based on confidence coefficient evaluation criteria.

Paper Details

Date Published: 15 November 2017
PDF: 7 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106052I (15 November 2017); doi: 10.1117/12.2293474
Show Author Affiliations
Chuanzi Tang, Science and Technology on Electromagnetic Scattering Lab. (China)
Hongmei Ren, Science and Technology on Electromagnetic Scattering Lab. (China)
Li Bo, Science and Technology on Electromagnetic Scattering Lab. (China)
Huang Jing, Science and Technology on Electromagnetic Scattering Lab. (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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