太赫兹科学与电子信息学报2024，Vol.22Issue(7)：703-709,722,8.DOI:10.11805/TKYDA2023074
基于离线电子对抗历史数据的信息特征关联分析
Information feature association analysis based on historical data of off-line electronic countermeasure
摘要
Abstract
In view of the high requirements of electronic countermeasures signal analysis,the large amount of intelligence processing data,and the difficulty of multi-dimensional information analysis and extraction in complex electromagnetic environment,the big data processing method of cross-industry data mining standard process,namely Cross-Industry Standard Process for Data Mining(CRISP-DM),is studied,and an processing and analysis platform for historical data of offline electronic countermeasures electromagnetic signal is designed based on the characteristics of the massive historical reconnaissance data of the electronic countermeasures intelligence system and the existing electromagnetic target knowledge base.By exploring the technical path of mining electromagnetic target parameters,time rules of the target,multi-target association rules and other intelligence analysis,the application of analysis methods such as clustering,the mining of time series and association rules in the processing of electronic countermeasure electromagnetic signal historical data is realized.The information features of unknown electronic target such as clustering,target quantity and scale prediction,multi-target association and co-occurrence rule are analyzed and obtained.The results show that the characteristics and correlation laws of electromagnetic target parameters are obvious,and the fitting correlation degree of target time characteristics reaches 0.825.This work lays a foundation for further research and practical application.关键词
电子对抗侦察/历史数据/目标分析/关联规则/时间规律Key words
electronic countermeasure reconnaissance/historical data/target analysis/association rule/time rule分类
信息技术与安全科学引用本文复制引用
鲁亚枭,周长林,王海松,王怡澄,刘广怡,余道杰..基于离线电子对抗历史数据的信息特征关联分析[J].太赫兹科学与电子信息学报,2024,22(7):703-709,722,8.基金项目
国家自然科学基金资助项目(61871405) （61871405）
