基于多模型的再入弹道目标跟踪算法  

Algorithm of reentry ballistic target tracking based on multiple model

作　　者：钮俊清[1,2,3] 任清安[1,2,3] 刘军伟[1,2] 

机构地区：[1]中国电子科技集团公司第38研究所,合肥230088 [2]数字阵列技术重点实验室,合肥230088 [3]智能情报处理重点实验室,合肥230088

出　　处：《空军预警学院学报》2015年第6期403-406,共4页Journal of Air Force Early Warning Academy

摘　　要：再入弹道导弹目标的跟踪和识别是反导防御体系中最关键的问题.针对传统的跟踪方法不能适用于不同类型的再入弹道目标的跟踪和真假弹头的识别问题,提出一种基于多模型的再入段弹道目标跟踪算法.该算法采用多模型的结构,适用于跟踪不同类型的再入弹道目标,可有效地提高跟踪精度;同时对于弹道系数的估计具有很快的收敛速度和较好的估计精度.仿真结果表明,与传统的EKF算法相比较,本文算法大幅提高了目标跟踪的精度,特别在弹道系数估计上精度较高,具有一定的识别真假弹头的能力和鲁棒的跟踪性能.In the anti-missile defense system, the tracking and identification of reentry ballistic target are the critical problems. However, the traditional method could not applied to the tracking for different types of reentry ballistic targets and identification of the true or fake warhead. This paper focus on an algorithm of reentry ballistic target tracking based on multiple model. In this scheme, the multiple model configuration is used for tracking the different types of reentry ballistic targets, thus improving the tracking accuracy effectively, and meanwhile,possessing the fast rate of convergence and better precision for the ballistic coefficient estimation. Simulation results indicate that this proposed method improves the precision of target tracking greatly, compared to the conventional EKF algorithm, and has especially a higher precision for the ballistic coefficient estimation and a certain capability of identifying the true or fake warhead and robust tracking performance.

关 键 词：再入弹道目标跟踪 弹道系数估计 交互多模型 不敏滤波 

分 类 号：TN957[电子电信—信号与信息处理]