| 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。 |
| 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 |
| DOI： |
|
| 基金项目:国防科技创新特区项目（19-H863-01-ZT-003-003-15） |
|
| A radar word extraction algorithm based on subspace clustering |
| 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) |
| Abstract: |
| 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 algorithms 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. |
| Key words: cognitive electronic warfare multifunction phased array radar（MPAR） radar word extraction subspace clustering boundary extension |
