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作 者:张雪松 吴楠 王锋 李东泽 ZHANG Xuesong;WU Nan;WANG Feng;LI Dongze(PLA Strategic Support Force Information Engineering University,Zhengzhou 450001;Unit 32035 of PLA,Xi an 710000;National Defense Science and Technology Innovation Research Institute,Academy of Military Science,Beijing 100071,China)
机构地区:[1]战略支援部队信息工程大学,河南郑州450001 [2]中国人民解放军32035部队,陕西西安710000 [3]军事科学院国防科技创新研究院,北京100071
出 处:《指挥控制与仿真》2023年第5期73-83,共11页Command Control & Simulation
摘 要:针对单飞行器采用无源探测手段对拦截弹主动段进行弹道估计的问题,提出一种基于动力特征模板的多模型自适应无迹卡尔曼滤波(MMAE-UKF)算法。在观测信息不完备的条件下,通过引入拦截弹动力特征模板,将飞行程序角模型设计参数与发射方位角增广为目标状态分量,基于程序角模型和动力特征模板构建非线性MMAE模型集,采用MMAE-UKF算法对拦截弹的程序角模型和设计参数进行辨识,同时对拦截弹主动段运动状态进行估计。仿真结果表明,算法能够快速准确辨识出拦截弹主动段采用的程序角模型及设计参数;与传统的增广状态滤波算法相比,运动状态估计误差显著减小,滤波稳定速度大幅度提高。An Unscented Kalman Filter with multi model adaptive estimation algorithm(MMAE-UKF)based on dynamic characteristic template is proposed to solve the problem of trajectory estimation of interceptor in boost phase by using passive detection method for single aircraft.Under the condition of incomplete observation information,by introducing the interceptor dynamic characteristic template,the design parameters of flight program model and launch azimuth angle are expanded to target state components.Based on the flight program model and dynamic characteristic template,a nonlinear MMAE model set is constructed.The flight program model and design parameters of the interceptor are identified using the MMAE-UKF algorithm,and the motion state of the interceptor in boost phase is estimated.The simulation results show that the algorithm can quickly and accurately identify the flight program model and design parameters used in the boost phase of the interceptor.Compared with the traditional expanded state filtering algorithm,the motion state estimation error is significantly reduced,and the filtering stability speed is greatly improved.
关 键 词:主动段 动力特征模板 程序角模型 MMAE-UKF算法
分 类 号:TJ760.1[兵器科学与技术—武器系统与运用工程]
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