应用抗差无迹卡尔曼滤波的再入弹道处理技术  

Robust unscented Kalman filter for calculating reentry vehicle trajectory

作　　者：李蝉[1] 张士峰[1] 张力军[1] 

机构地区：[1]国防科技大学航天科学与工程学院,湖南长沙410073

出　　处：《国防科技大学学报》2017年第1期1-5,共5页Journal of National University of Defense Technology

基　　金：国家863计划资助项目(2014AA7042018)

摘　　要：针对现有无迹卡尔曼滤波在再入弹道处理中可能出现的异常观测、观测随机误差模型不准确以及动力学模型不合理等问题,在无迹卡尔曼滤波中引入自适应与抗差估计理论,研究适用于再入弹道处理的自适应抗差滤波方法。该方法可以自适应地估计测量噪声等价协方差阵和状态噪声等价协方差阵,并可实现异常值的分离和维纳模型方差的自适应调整。数值仿真结果表明:该方法计算简单,并能有效减弱测量误差和动力学模型误差对弹道处理精度的影响。The difficulties that unscented Kalman filter encounters when it is introduced in reentry vehicle trajectory were investigated. These ifficulties include abnormal measurement, the inaccuracy of measurement random error model and dynamic model. The current study uses an daptive robust filter that can produce the estimation of equivalent weight flexibly according to measurement noise and state noise, can distinguish bnormal measurement from normal measurement, and can estimate the variance of Wiener model self-adaptively. The simulated results testified hat the filter is easy to implement and can reduce the bad influences derived from inaccuracy of measurement random error model and dynamic model.

关 键 词：再入弹道 无迹卡尔曼滤波 自适应 抗差估计 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]