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一种空中目标关联关系挖掘分析方法

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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.
A Method for Mining and Analyzing the Association of Air Targets
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.

target associationmining analysisdynamic time warping(DTW)spanning treeair target

赵小瑞、李宏权、梁复台、戚玉志

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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

中国人民解放军31121部队,江西南昌 330000

目标关联关系 挖掘分析 动态时间规整(DTW) 生成树 空中目标

军队一般科研课题

JY2021C178

2024

现代防御技术
北京电子工程总体研究所

现代防御技术

CSTPCD北大核心
影响因子:0.357
ISSN:1009-086X
年,卷(期):2024.52(3)
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