基于天牛须优化的K-Means算法在雷达信号分选中的应用  

Application of K-Means Algorithm Based on Bettle Antennae Optimization to Radar Signal Sorting

作　　者：赵贵喜 郑洪涛 张冀 ZHAO Guixi;ZHENG Hongtao;ZHANG Ji(Unit 93199 of PLA,Harbin 150001,China)

机构地区：[1]解放军93199部队,黑龙江哈尔滨150001

出　　处：《舰船电子对抗》2024年第6期92-95,共4页Shipboard Electronic Countermeasure

摘　　要：雷达信号分选就是将错综复杂的雷达信号分选出来,它是雷达辐射源识别的重要基础。最近发生的俄乌冲突也在不断验证着电子战的重要性,雷达信号分选作为电子战的关键一环,发挥着至关重要的作用。提出了一种基于蚁群LF聚类、天牛须搜索(BAS)和K-Means聚类的融合分选算法,该算法不需要雷达信号的先验知识。仿真实验表明,该方法可以准确地将复杂的雷达信号进行分类,分选正确率较高。Radar signal sorting is to sort out complex radar signals,which is an important basis for radar radiation source recognition.The recent conflict between Russia and Ukraine has also proved the importance of electronic warfare.As a key part of electronic warfare,radar signal sorting plays an important role.A fusion sorting algorithm based on Lumer and Faieta(LF)clustering of ant colony,beetle antennae search(BAS)and K-Means clustering is proposed,which does not need prior knowledge of the radar signal.Simulation experiments show that this method can classify complex radar signals accurately and has a high sorting accuracy.

关 键 词：雷达信号分选 天牛须搜索 K-MEANS聚类 LF聚类 

分 类 号：TN971.1[电子电信—信号与信息处理]