应用抗差无迹卡尔曼滤波的再入弹道处理技术

针对现有无迹卡尔曼滤波在再入弹道处理中可能出现的异常观测、观测随机误差模型不准确以及动力学模型不合理等问题,在无迹卡尔曼滤波中引入自适应与抗差估计理论,研究适用于再入弹道处理的自适应抗差滤波方法。该方法可以自适应地估计测量噪声等价协方差阵和状态噪声等价协方差阵,并可实现异常值的分离和维纳模型方差的自适应调整。数值仿真结果表明:该方法计算简单,并能有效减弱测量误差和动力学模型误差对弹道处理精度的影响。

Robust Unscented Kalman Filter for Calculating Reentry Vehicle Trajectory

This paper investigates the difficulties that UKF filter encounters when it is introduced in reentry vehicle trajectory. These difficulties are abnormal measurement, the inaccuracy of measurement random error model and dynamic model. Then it represents an adaptive robust filter that can produce the estimation of equivalent weight flexibly according to measurement noise and state noise, and can distinguish abnormal measurement from normal measurement, and can estimate the variance of Wiener model self-adaptively. Successful example testifies that the filter is easy to implement and can reduce the bad influences derived from inaccuracy of measurement random error model and dynamic model.