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14 December 2015A fast recognition method of warhead target in boost phase using kinematic features
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.
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Jian Chen, Shiyou Xu, Biao Tian, Jianhua Wu, 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