UKF 滤波算法在弹箭落点估计中的应用
Application of Unscented Kalman Filter Filtering Algorithm in Estimation of Projectile Point of Fall
Received date: 2016-04-30
Online published: 2025-05-23
曾凡桥 , 陈国光 , 高小东 , 刘霖 . UKF 滤波算法在弹箭落点估计中的应用[J]. 弹箭与制导学报, 2017 , 37(1) : 73 -76 . DOI: 10.15892/j.cnki.djzdxb.2017.01.017
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.
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