一种基于子空间聚类的雷达字提取算法  

A Radar Word Extraction Algorithm Based on Subspace Clustering

作　　者：高天昊 曲卫 王鹏达 董尧尧 姜浩浩 GAO Tianhao;QU Wei;WANG Pengda;DONG Yaoyao;JIANG Haohao(Graduate School,Space Engineering University,Beijing 101416,China;Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China)

机构地区：[1]航天工程大学研究生院,北京101416 [2]航天工程大学电子与光学工程系,北京101416

出　　处：《电讯技术》2022年第10期1476-1482,共7页Telecommunication Engineering

基　　金：国防科技创新特区项目(19-H863-01-ZT-003-003-15)。

摘　　要：在认知侦察领域,对多功能相控阵雷达(Multifunction Phased Array Radar,MPAR)的脉冲序列进行分析,得到目标威胁等级和其他直观的有效情报,可以直接服务于作战指挥中心的决策部署。其中对雷达字提取是进行行为分析和预测的基础,其提取的结果将间接影响最后实施干扰决策的措施。针对从前提取算法利用侦收信息不全而CLIQUE算法簇边缘丢失等问题,提出了一种基于子空间聚类的雷达字提取算法。仿真实验结果表明,在漏脉冲率为30%的情况下该改进算法的提取准确率、F-值和调整兰德系数均优于传统算法,可以很好地服务于认知电子战中的雷达对抗。In the field of cognitive reconnaissance,the pulse sequence of multifunction phased array radar(MPAR)is analyzed to obtain target threat levels and other intuitive and effective intelligence,which can directly serve the decision-making deployment of the combat command center.Among them,the extraction of radar characters is the basis for behavior analysis and prediction,and the extracted results will indirectly affect the final implementation of interference decision-making measures.For the problems of past extraction algorithms using incomplete detection information and missing cluster edges in CLIQUE algorithm,this paper proposes a radar word extraction algorithm based on subspace clustering.The simulation experiment results show that under the condition of 30%pulse leakage rate the improved algorithm s extraction accuracy,F-score and adjustment of the Rand coefficient are better than those of traditional algorithms,and it can serve well for radar countermeasures in cognitive electronic warfare.

关 键 词：认知电子战 多功能相控阵雷达(MPAR) 雷达字提取 子空间聚类 边界扩展 

分 类 号：TN958[电子电信—信号与信息处理] TN974[电子电信—信息与通信工程]