一种基于无迹卡尔曼滤波和炮弹运动轨迹模型的落/发点外推新算法  

A New Extrapolation Algorithm of Falling/Firing Point Based on Unscented Kalman Filter and Shell Trajectory Model

作　　者：颜波涛[1] 于琼 李同亮 YAN Bo-tao;YU Qiong;LI Tong-liang(The 38th Research Institute of CETC,Hefei 230031,China;China Engineering University of PLA,Nanjing 210001,China)

机构地区：[1]中国电子科技集团公司第三十八研究所,安徽合肥230031 [2]中国人民解放军陆军工程大学,江苏南京210001

出　　处：《舰船电子对抗》2023年第1期91-96,共6页Shipboard Electronic Countermeasure

摘　　要：炮弹弹道外推算法是决定炮位侦察校射雷达性能的关键因素之一。针对运动轨迹滤波方法、弹道模型误差、参数估计误差等导致的定位精度低的问题,提出了一种基于无迹卡尔曼滤波和炮弹运动轨迹模型的落/发点外推新算法。该算法首先选择先进的无迹卡尔曼滤波方法对雷达测得的初始弹道轨迹进行滤波,再基于一种先进的炮弹运动轨迹模型,利用四阶龙格-库塔方程进行外推。仿真实验结果表明,相比于其它2种较为经典的弹道外推算法,该算法定位精度大大提高。Shell trajectory extrapolation algorithm is one of the key factors to determine the performance of artillery location and firing correction radar.Aiming at the problem of low positioning accuracy caused by trajectory filtering method, trajectory model error and parameter estimation error, etc.,this paper proposes a new extrapolation algorithm of falling/firing point based on unscented Kalman filter and shell trajectory model.Firstly, the advanced unscented Kalman filter method is used to filter the initial trajectory measured by radar.Then, based on an advanced shell trajectory model, the fourth-order Runge-Kutta equation is used to extrapolate.The simulative experiment results show that the positioning accuracy of this algorithm is improved greatly compared with that of the other two classical ballistic extrapolation algorithms.

关 键 词：炮位侦察校射雷达 弹道外推算法 无迹卡尔曼滤波 炮弹运动轨迹模型 龙格-库塔方程 

分 类 号：TN957.51[电子电信—信号与信息处理]