UKF滤波算法在弹箭落点估计中的应用

摘要

According to the measured data of part of ballistic trajectory to accurately predict the trajectory's point of fall,it was the key technology of trajectory correction ammunition intelligence.Considering the filtering accuracy and complexity of the algorithm,the ballistic filtering model and the extrapolated trajectory model were established by using particle trajectory model and unscented Kalman filter method in this paper.The processing results of the measured data obtained by radar showed that the UKF trajectory filtering model and the particle extrapolation model had higher accuracy.%依据部分弹道的弹道轨迹测量数据,准确预报弹道落点,是弹道修正弹药智能化的关键技术.综合考虑滤波精度和算法复杂度,文中采用质点弹道模型和无迹卡尔曼滤波(unscented Kalman filter)方法,建立了弹道滤波模型和外推弹道模型.通过对雷达测量数据的处理结果表明,UKF弹道滤波模型和质点外推模型有较高的精度.