一种空中目标关联关系挖掘分析方法
A Method for Mining and Analyzing the Association of Air Targets
赵小瑞 1李宏权 2梁复台 3戚玉志2
作者信息
- 1. 空军预警学院,湖北武汉 430000;中国人民解放军96714部队,福建永安 366000
- 2. 空军预警学院,湖北武汉 430000
- 3. 空军预警学院,湖北武汉 430000;中国人民解放军31121部队,江西南昌 330000
- 折叠
摘要
快速准确挖掘分析雷达历史数据中蕴含的目标关联关系,可以为空中目标活动规律研究、目标识别判性等提供辅助,充分发挥历史数据作用.根据目标时空特性,设计了一种新的空中目标关联关系挖掘分析方法.设计了一种时间匹配方法,生成时间关联数据集.设计了一种空间关联度量,生成空域关联数据集.运用DTW及生成树算法,匹配并搜索具有关联关系的空中目标,生成关联关系集合.经数字仿真验证,该方法可有效挖掘雷达数据历史信息,寻找目标之间的关联规律.
Abstract
Quickly and accurately mining and analyzing the target association relationship contained in radar historical data can provide assistance for the study of air target activity law,target identification and judgment,and give full play to the role of historical data.According to the space-time characteristics of the target,a new method of mining and analyzing the association relationship of air targets is designed.A time matching method is designed to generate time correlation data sets.A spatial association metric is designed to generate spatial association data sets.Dynamic time warping(DTW)and spanning tree algorithm are used to match and search the air targets with associated relations,and generate the set of associated relations.After digital simulation verification,this method can effectively mine the historical information of radar data and find the correlation rules between targets.
关键词
目标关联关系/挖掘分析/动态时间规整(DTW)/生成树/空中目标Key words
target association/mining analysis/dynamic time warping(DTW)/spanning tree/air target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