国防科技大学学报2017，Vol.39Issue(1)：1-5,5.DOI:10.11887/j.cn.201701001
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
摘要
Abstract
The difficulties that unscented Kalman filter encounters when it is introduced in reentry vehicle trajectory were investigated.These difficulties include abnormal measurement, the inaccuracy of measurement random error model and dynamic model.The current study uses an adaptive robust filter that can produce the estimation of equivalent weight flexibly according to measurement noise and state noise, can distinguish abnormal measurement from normal measurement, and can estimate the variance of Wiener model self-adaptively.The simulated results testified that 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Key words
reentry vehicle trajectory/unscented Kalman filter/self-adaptation/robust estimation分类
航空航天引用本文复制引用
李蝉,张士峰,张力军..应用抗差无迹卡尔曼滤波的再入弹道处理技术[J].国防科技大学学报,2017,39(1):1-5,5.基金项目
国家863计划资助项目(2014AA7042018) （2014AA7042018）
