一种机动再入弹头动力学跟踪算法  

Dynamic tracking algorithm of maneuvering reentry missile warhead

作　　者：郑茂[1] 张凯[1] 黎慧[1] ZHENG Mao;ZHANG Kai;LI Hui(Air Force EarlyWarning Academy,Wuhan 430019, China)

机构地区：[1]空军预警学院,武汉430019

出　　处：《空军预警学院学报》2016年第6期410-413,430,共5页Journal of Air Force Early Warning Academy

基　　金：学院创新基金资助项目(2014QNCX0111)

摘　　要：针对传统跟踪算法对机动再入弹头进行状态估计存在误差较大的问题,提出一种基于空气动力参数模型的跟踪算法.首先建立了目标的空气动力参数模型,将爬升力参数和侧向力系数之间存在的先验信息引入高阶状态向量.然后对模型进行扩展卡尔曼滤波,构建基于空气动力学模型的扩展卡尔曼滤波跟踪算法.最后进行了对比仿真.仿真结果表明,本文所提算法精度明显优于针对该类目标的传统跟踪算法,特别是当目标发生机动时,该算法具有更强的适应性和鲁棒性.Aimed at the problem that the traditional tracking algorithms have a greater error on the stateestimation of maneuvering reentry warhead, a tracking algorithm based on the parameter model of aerodynamicforce is proposed in this paper. Firstly, the parameter model of the aerodynamic force of the target is set up, and apriori information existing between the climbing force parameter and the lateral force coefficient is introducedinto the higher-order state vector. And then, the extended Kalman filter is performed on this model, and anextended Kalman filter tracking algorithm based on the aerodynamics model is constructed, and finally, thecomparative simulation is carried out. Simulation results show that the proposed algorithm precision outperformsthat of the conventional tracking algorithm for this kind of target, and the algorithm has the better adaptability androbustness especially when the target is maneuvering.

关 键 词：机动弹头 目标跟踪 动力学模型 扩展卡尔曼滤波 

分 类 号：TN957[电子电信—信号与信息处理]