Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (3): 233-236.DOI: 10.3778/j.issn.1002-8331.2011.03.068

• 工程与应用 • Previous Articles     Next Articles

Outlier rejection and unscented Kalman filter in rocket flight data processing

ZHAI Ruling1,CHAI Yi1,ZHANG Ke1,2   

  1. 1.College of Automation,Chongqing University,Chongqing 400030,China
    2.School of Engineering,University of Guelph,Ontario,N1G 2W1,Canada
  • Received:2009-05-11 Revised:2009-07-13 Online:2011-01-21 Published:2011-01-21
  • Contact: ZHAI Ruling

火箭飞行测控数据野值处理及其无迹Kalman滤波

翟茹玲1,柴 毅1,张 可1,2   

  1. 1.重庆大学 自动化学院,重庆 400030
    2.贵湖大学 工程系,加拿大 安大略 N1G 2W1
  • 通讯作者: 翟茹玲

Abstract: 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.

Key words: launch vehicle, outlier, unscented transform, Unscented Kalman Filter(UKF)

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。

关键词: 运载火箭, 野值, 无迹变换, 无迹卡尔曼滤波

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