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作 者:张洁雯 孙闽红[1] 王杰[1] ZHANG Jiewen;SUN Minhong;WANG Jie(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China)
机构地区:[1]杭州电子科技大学通信工程学院,浙江杭州310018
出 处:《探测与控制学报》2023年第4期87-94,共8页Journal of Detection & Control
基 金:国防特色学科发展项目(JCKY2019415D002)。
摘 要:复杂网络理论在多功能雷达信号分选中已成功得到应用。针对标签传播拓展算法(SLPA)在节点更新顺序和标签传播时采用随机策略导致的划分结果不稳定、随机性强等问题,提出基于接近中心性的节点排序方法和度量节点相似性的条件标签传播拓展算法(CSLPA)用于分选时的社区检测。首先,将雷达脉冲信号的细微特征与脉冲描述字(PDW)参数组成特征向量,根据滑动有限穿透可视图构建复杂网络模型;然后,采用CSLPA算法和密度峰值聚类算法进行社区检测,完成分选过程。仿真结果表明,所提方法在参数重叠较多及存在多功能雷达信号的复杂电磁环境中,分选性能优于标签传播算法及两种传统分选算法——k-means聚类与脉冲重复间隔变换法,在存在噪声、漏脉冲和虚假脉冲等条件下具有较强的鲁棒性。Complex network has been successfully applied in multi-function radar signal sorting.Aiming at the shortcomings of unstable division results and strong randomicity caused by speaker-listener label propagation algorithm(SLPA)adopting the randomized method in node update order and label propagation,a node ranking method based on closeness centrality and a method for measuring node similarity were proposed to improve SLPA and propose conditional speaker-listener label propagation algorithm(CSLPA).Firstly,the subtle features of radar signals and pulse description word(PDW)parameters were combined to form a feature vector,and the complex network model was constructed according to a sliding limited penetrable visibility graph.Then the CSLPA and density peak clustering algorithm(DPC)was used for detecting community structures,thus fulfilling deinterleaving of pulses from several multi-function radars.The simulation results showed that in complex electromagnetic environments with great overlapping parameters and multi-function radar signal,the proposed method had better sorting performance than label propagation algorithms and classical algorithms such as k-means cluster and pulse repetition interval(PRI)transformation algorithm,and also performs satisfactorily when there were noise,missing pulses,and false pulses,the method had strong robustness.
关 键 词:多功能雷达 脉冲分选 复杂网络 社区检测 CSLPA算法
分 类 号:TN974[电子电信—信号与信息处理]
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