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14 December 2015 A fast recognition method of warhead target in boost phase using kinematic features
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Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120Q (2015) https://doi.org/10.1117/12.2207401
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Chen, Shiyou Xu, Biao Tian, Jianhua Wu, and Zengping Chen "A fast recognition method of warhead target in boost phase using kinematic features", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120Q (14 December 2015); https://doi.org/10.1117/12.2207401
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