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Proceedings Paper

A fast recognition method of warhead target in boost phase using kinematic features
Author(s): Jian Chen; Shiyou Xu; Biao Tian; Jianhua Wu; Zengping Chen
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Paper Abstract

The radar targets number increases from one to more when the ballistic missile is in the process of separating the lower stage rocket or casting covers or other components. It is vital to identify the warhead target quickly among these multiple targets for radar tracking. A fast recognition method of the warhead target is proposed to solve this problem by using kinematic features, utilizing fuzzy comprehensive method and information fusion method. In order to weaken the influence of radar measurement noise, an extended Kalman filter with constant jerk model (CJEKF) is applied to obtain more accurate target’s motion information. The simulation shows the validity of the algorithm and the effects of the radar measurement precision upon the algorithm’s performance.

Paper Details

Date Published: 14 December 2015
PDF: 8 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120Q (14 December 2015); doi: 10.1117/12.2207401
Show Author Affiliations
Jian Chen, National Univ. of Defense Technology (China)
Shiyou Xu, National Univ. of Defense Technology (China)
Biao Tian, National Univ. of Defense Technology (China)
Jianhua Wu, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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