测试科学与仪器Issue(3)：212-217,6.DOI:10.3969/j.issn.1674-8042.2015.03.002
自适应卡尔曼滤波器在火箭弹落点估计中的应用
Application of adaptive Kalman filter in rocket impact point estimation
闫小龙 1陈国光 1白敦卓2
作者信息
- 1. 中北大学 机电工程学院，山西 太原 030051
- 2. 豫西工业集团有限公司，河南 南阳 473000
- 折叠
摘要
Abstract
In order to measure the parameters of flight rocket by using radar,rocket impact point was estimated accurately for rocket traj ectory correction.The Kalman filter with adaptive filter gain matrix was adopted.According to the particle traj ectory model,the adaptive Kalman filter traj ectory model was constructed for removing and filtering the outliers of the parameters during a section of flight detected by three-dimensional data radar and the rocket impact point was extrapolated.The results of numerical simulation show that the outliers and noise in traj ectory measurement signal can be removed effectively by using the adaptive Kalman filter and the filter variance can converge in a short period of time.Based on the relation of filtering time and impact point estimation error,choosing the filtering time of 8-10 s can get the minimum estimation error of impact point.关键词
火箭弹/自适应卡尔曼滤波器/野值/落点估计Key words
rocket/adaptive Kalman filter/outliers/impact point estimation分类
军事科技引用本文复制引用
闫小龙,陈国光,白敦卓..自适应卡尔曼滤波器在火箭弹落点估计中的应用[J].测试科学与仪器,2015,(3):212-217,6.
