弹丸三维速度实时处理方法研究  

Research on Real-time Processing Method of Projectile 3D Velocity

作　　者：段鹏伟 宫志华 吕海东 DUAN Pengwei;GONG Zhihua;LYU Haidong(Unit 63861 of PLA,Baicheng 137001,China)

机构地区：[1]中国人民解放军63861部队,吉林白城137001

出　　处：《弹道学报》2021年第2期61-65,96,共6页Journal of Ballistics

摘　　要：为了解决常规靶场测控系统中弹丸三维速度实时高精度处理的难题,提出了基于多元异类实时数据融合处理弹丸三维速度的方法。该方法通过联立弹丸位置和径向速度这两类测元的误差方程,建立了基于径向速度测元的测控系统实时数据融合模型,实现了弹丸三维速度的实时解算。将该方法应用于常规靶场典型试验的实例仿真中,与纯粹的三维速度IMM卡尔曼滤波和增加径向速度观测量后的IMM卡尔曼滤波进行对比分析,验证了模型的正确性和方法的有效性。研究结果表明,该文提出的方法能够高精度处理弹丸的三维速度,并且实时性强,易于工程实践。To solve the problem that it is very difficult to accurately process the real time projectile 3D velocity in measurement and control network system,a new data fusion method was put forward based on multiple heterogeneous measuring elements.A real time data fusion model based on radial velocity was established by combining the error equations of the projectile position and radial velocity.The real-time solution of projectile 3D velocity was realized by solving the model.The method was applied to a simulation example of typical test in the range,and it was compared to the IMM Kalman filter with 3D velocity and IMM Kalman filter with additional radial velocity,and the validity of the model and the availability of the method were verified.The results show that,in the measurement and control network system,the 3D velocity of projectile can be calculated with high precision,good real-time performance and easy applicability by the proposed method.

关 键 词：实时数据融合 误差方程 IMM卡尔曼滤波 三维速度 

分 类 号：TJ410.6[兵器科学与技术—火炮、自动武器与弹药工程] TP274[自动化与计算机技术—检测技术与自动化装置]