基于层次聚类和谱适应的雷达信号分选方法  

Radar signal sorting method based on hierarchical clustering and spectral adaptation

作　　者：苏显康 张大维 叶方[1,2] SU Xiankang;ZHANG Dawei;YE Fang(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 [2]先进船舶通信与信息技术工业和信息化部重点实验室,黑龙江哈尔滨150001

出　　处：《系统工程与电子技术》2025年第1期101-108,共8页Systems Engineering and Electronics

摘　　要：雷达信号分选是电子战中的重要一环。在复杂电磁环境中,侦察机截取的信号不理想,可能存在脉冲丢失、杂波干扰的情况,导致传统信号分选方法效果不佳。针对以上问题,提出一种基于层次聚类和谱适应的雷达信号分选方法,该算法通过神经决策树对交织脉冲流中的杂波进行检测,提升散乱杂波场景下分选准确率,依据脉冲重复周期谱对门限进行动态调整,完成不同类型脉冲重复间隔(pulse repetition interval,PRI)调制信号的分选。实验表明,所提方法应对高密度、脉冲丢失、散乱杂波的场景,表现出良好的准确性和稳定性。Complex signal sorting constitutes a crucial aspect of electronic warfare.In the complex electromagnetic environment,signals intercepted by reconnaissance aircraft are seldom ideal and may suffer from pulse loss and clutter interference,leading to suboptimal outcomes for traditional signal sorting methods.To address these issues,a radar signal sorting method based on hierarchical clustering and spectrum adaptation is proposed.The algorithm employs neural decision trees to detect clutter in interleaved pulse streams,enhances the sorting efficacy in scattered clutter scenes,and dynamically adjusts thresholds according to the pulse repetition cycle spectrum to sort different types of pulse repetition interval(PRI)modulated signals.Experimental results demonstrate that the proposed method exhibits high accuracy and stability even under conditions of high density,pulse loss,or scattered clutter.

关 键 词：雷达信号分选 复杂电磁环境 层次聚类 脉冲重复间隔 

分 类 号：TN957.51[电子电信—信号与信息处理]