摘要
针对目前高速弹丸目标海上试验末段弹道外推及落点预测方法单一,模型复杂和适应性差等问题,提出一种基于多模型加权组合的弹道重构及落点计算方法。利用无迹卡尔曼滤波技术对雷达测量数据参数估计,基于多模型理论,采用非线性加权平均最优组合估计方法,将运动学和动力学建模外推弹道加权组合,并对外推弹道及落点计算精度进行了试验验证。试验数据表明:该方法可以有效降低单一模型带来的误差和参数误差,极大地提高数学建模的适应性,通用性强,且落点计算精度优于同类方法,具有推广应用价值。
For the ballistic extrapolation and landing point prediction at the end of the current high-speed projectile in sea test,a method of ballistic reconstruction and landing point calculation based on weighted combination of multiple models is proposed aiming at the problems of single method,complicated model and poor adaptability.The parameters of radar measurement data are estimated using unscented Kalman Filter technology.Based on the multi-model theory and nonlinear weighted average optimal combination estimation method,the kinematics and dynamics modeling trajectory are weighted and combined,and the calculation accuracy of extrapolated trajectory and landing point is verified by experiments.The experimental data shows that this method can effectively reduce the error and parameter error caused by a single model,greatly improve the adaptability of mathematical modeling,has strong versatility,and has a better calculation accuracy of landing points than similar methods,and has the value of popularization and application.
作者
梅玉航
韩先平
MEI Yu-hang;HAN Xian-ping(Unit 92941 of the PLA,Huludao 125000,China)
出处
《测控技术》
2021年第1期90-94,共5页
Measurement & Control Technology
关键词
高速弹丸
无迹卡尔曼滤波
多模型加权
最优组合估计
精度
high-speed projectile
traceless Kalman Filter
multi-model weighting
optimal combination estimation
accuracy
