防空装备虚拟射击试验仿真航迹生成方法
Research on the Method of Simulation Flight Path Gen-eration for Virtual Firing Test of Air Defense Equipment
李婷 1邸彦强 1孟宪国 1李前进 1冯少冲1
作者信息
- 1. 陆军工程大学石家庄校区,石家庄 050003
- 折叠
摘要
地面防空装备虚拟射击试验是一种"虚飞实打"的靶场试验新模式,能够有效降低试验成本、缩短试验周期,同时为检验装备边界性能提供了新手段,虚拟靶机仿真航迹生成是其中的难题.提出并实现一种目标运动方程叠加雷达测量误差模型的仿真航迹生成方法,综合运用多元线性回归分析和最小二乘法构建雷达测量误差模型,解决基于历史试验数据计算相应状态下雷达测量误差的难题.最后,选取历史试验数据进行验证分析,建立相应的雷达测量误差模型,通过叠加单机复杂战术机动行为,得到仿真航迹数据.分析表明,按照该方法生成的航迹高低角、方位角测量值的均方根误差分别为0.110 mil、0.166 mil,距离测量值均方根误差为2.285 m,能够满足试验需求.
Abstract
The virtual firing test of ground-air defense equipment is a new mode of range test of"vir-tual flight and actual combat",which can effectively reduce test costs,shorten test cycles,and provide a new method to test equipment boundary performance.However,the simulation flight path generation of virtual target drone aircraft is one of the difficulties.A flight path generation method is proposed by the superposition of the target motion equation and the radar measurement error model.The radar measure-ment error model is constructed with multiple linear regressive analysis and least square method,the prob-lem of calculating radar measurement errors is solved under corresponding states based on historical experimental data.Finally,historical experimental data are selected for verification and analysis,and a corresponding radar measurement error model is established.Then the data of simulation flight path are obtained by superposition of the complex tactical maneuvering actions of a single aircraft.The analysis results indicate that the root mean square errors of the elevation angles measured values and azimuth angles measured values in the generated flight path according to the method are 0.110 mils and 0.166 mils,and the root mean square error of the distance measured value is 2.285 meters,the experimental requirements can be met.
关键词
防空装备/射击试验/边界试验/虚拟靶机/航迹生成/误差模型Key words
air defense equipment/firing test/boundary test/virtual target drone aircraft/flight path generation/error model引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据