火箭飞行测控数据野值处理及其无迹Kalman滤波  

Outlier rejection and unscented Kalman filter in rocket flight data processing

作　　者：翟茹玲[1] 柴毅[1] 张可[1,2] 

机构地区：[1]重庆大学自动化学院,重庆400030 [2]黄湖大学工程系,加拿大安大略N1G2W1

出　　处：《计算机工程与应用》2011年第3期233-236,共4页Computer Engineering and Applications

基　　金：国家高技术研究发展计划(863)No.2003A132050~~

摘　　要：为了提高火箭飞行测量数据处理的精度,提出一种用于非线性系统的、抗野值的、基于无迹变换的Kalman滤波算法的改进方法——抗野值的无迹卡尔曼滤波算法(UKF),对火箭飞行测控系统中的目标进行位置及运行轨迹估计。该算法以少量的采样点表示随机变量的分布,通过非线性系统传播,实时地对滤波增益进行调整,将检测数据中的野值剔除。将算法应用于航天测控系统跟踪运载火箭系统中,通过Monte Carlo仿真,说明改进的方法能有效地消除野值对测控系统检测数据处理的影响,提高了滤波精度。A new method of Kalman filter based on unscented transform,which used in nonlinear system,is proposed to improve the precision of rocket flight data processing.The new method is unscented Kalman filter algorithm with outlier detection,which estimates location and track about the aim in rocket flight control system.The algorithm uses a few sampling point to represent distribution of random variable by means of nonlinear system propagation and adjustment to filter gain real-timely,then eliminating outliers in the detection data.The new method is applied into launch vehicle control system.The result of Monte Carlo simulation proves that the effect of detection data processing can be eliminated effectively and improves filtering accuracy.

关 键 词：运载火箭 野值 无迹变换 无迹卡尔曼滤波 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]