摘要
当前的外场试验中,全弹道实弹类试验存在成本高,样本量有限的问题,因此大多数外场试验采用定点架设雷达导引头的方法进行试验,产生大量的试验数据,如何有效利用这些现有数据,挖掘其中的有用信息,就成为当前研究的重点。以面向舰艇平台无源干扰系统数据挖掘应用为出发点,提出利用定点架设的外场试验数据重构外场试验场景、校验仿真模型,并外推至加载弹道的动态对抗过程,形成面向作战效能评估的舰艇平台无源干扰试验动态推演系统。推演结果表明,通过提取外场试验数据中的有用信息结合作战仿真推演方法,能够实现面向作战效能评估的试验数据深度挖掘的目的。
In the current field test,the full-trajectory live ammunition test has the problem of high cost and limited sample size,so most of the field test adopt the method of fixed point radar seeker to conduct the test and produce a large number of test data.How to effectively utilize these existing data and mine the useful information has become the focus of current research.Starting from the data mining application of passive jamming system for warship platform,this paper proposes to reconstruct the scene of field test with the data of field test set up at a fixed point,verify the simulation model,and extrapolate to the dynamic confrontation process of loaded trajectory,so as to form the dynamic inference system of passive jamming test of ship platform for the evaluation of combat effectiveness.The deduction results show that by extracting useful information from the field test data and combining it with operational simulation deduction method,the purpose of deep mining the test data for operational effectiveness evaluation can be achieved.
作者
齐兆龙
申军岭
贾宏进
QI Zhao-long;SHEN Jun-ling;JIA Hong-jin(Unit 91336 of PLA,Qinhuangdao 066326,China)
出处
《指挥控制与仿真》
2020年第1期101-107,共7页
Command Control & Simulation
关键词
实测数据
场景重构
作战仿真推演
作战效能评估
measured data
scene reconstruction
combat simulation deduction
operational effectiveness evaluation
