数据挖掘在红外弹道测量误差优化方面的应用  

Application of Data Mining in Error Optimization of Infrared Trajectory Measurement

作　　者：童辰 Tong Chen(The 28th Research Institute of China Electronics Technology Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第28研究所,南京210007

出　　处：《信息化研究》2022年第2期74-78,共5页INFORMATIZATION RESEARCH

摘　　要：一组红外弹道测量设备对整个弹道不同飞行段的测量误差是有明显差异的。文章针对红外测量系统特点、测量误差特征进行影响变量初步筛选,提出一种多元回归数据挖掘算法在红外弹道测量误差优化时进行具体应用。通过F检验分析预测变量和目标变量之间差异的显著性,最终获取测量误差与探测距离、探测夹角、飞行速度等变量之间的计算函数,从而在实际应用方面验证了通过优化红外设备部署,将最高测量精度区间对应上弹道关键测量点和测量段,提高整个红外测量体系的精度。There are obvious differences in the measurement errors of a group of infrared trajectory measurement equipment for different flight segments of the whole trajectory.According to the characteristics of infrared measurement system and measurement error,this paper preliminarily selects the influence variables,and proposes a multiple regression data mining algorithm for specific application in the optimization of infrared trajectory measurement error.The significance of the difference between the prediction variables and the target variables is analyzed by F test,and the calculation function between the error and the variables such as detection distance,detection angle,flight speed is finally obtained.Thus,in the practical application,it is verified that by optimizing the deployment of infrared equipment,the highest measurement accuracy interval corresponds to the trajectory key measurement points and measurement segments,and the accuracy of the entire infrared measurement system is improved.

关 键 词：红外弹道测量设备 数据挖掘 弹道测量 多元回归 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]