火箭飞行测控数据野值处理及其UKF算法
首发时间:2009-04-02
摘要:在提高火箭飞行测量数据处理精度的基础上,利用了一种用于非线性系统的,抗野值的,基于无迹变换的Kalman滤波算法的一个新改进方法—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,实时地对滤波增益地调整,将检测数据中的野值剔除。文章将其应用于航天测控系统跟踪运载火箭系统中,通过Monte Carlo仿真,说明该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。
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Outlier Rejection in Rocket Flight Data Processing and Unscented Kalman Filter Algorithm
Abstract:In this paper, a new method of Kalman filter based on unscented transform, which is used in nonlinear system, is proposed on the basis of improving precision of rocket flight data processing. The new method is unscented Kalman filter algorithm with Outlier detection, which will estimate 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.
Keywords: launch vehicle outlier unscented transform unscented Kalman filter
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