依据部分弹道的弹道轨迹测量数据,准确地预报弹道落点,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,本文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。 According to some ballistic trajectory measurement data, accurately predicting the trajectory landing point is the key technology of ballistic correction of ammunition intelligence. Considering the filtering accuracy and the complexity of the algorithm, this paper uses the particle trajectory model and Unscented Kalman Filter method to establish the trajectory filtering model and the extrapolation trajectory model. The processing results of the radar measurement data show that the UKF ballistic filter model and particle extrapolation model have higher accuracy.