火力与指挥控制2024，Vol.49Issue(12)：77-84,92,9.DOI:10.3969/j.issn.1002-0640.2024.12.009
基于复杂网络建模的雷达辐射源信号脉间特征提取
Inter-Pulse Feature Extraction of Radar Emitter Signals and Its Analysis Based on Complex Network Modeling
摘要
Abstract
In the high-density signal environment where advanced radar coexists,the traditional radar signal sorting and recognition method based on pulse descriptive word(PDW)usually performs mod-eling classification which is difficult to meet the demands of modern electronic warfare under the high pulse loss rate,and lack an effective characterization and analysis model to establish the topological struc-ture of the interaction between pulses.Therefore,in this paper,a new method is proposed to extract the local characteristics of complex network modeling and its decomposition approach based on inter-pulse parameters.Meanwhile,the algorithm of limited penetrable visibility graph(LPVG)is used to construct complex network and the structural characteristics of complex network to obtain the regularity of inter-pulse parameters of the whole pulse sequence,and characterizes the whole network model by the micro-characteristics sensitive to local changes in the network.The simulated results of the intercepted unknown radar emitter signals demonstrate that the extracted features have good separability.Comparisons and analyses with conventional five-parameter classification results show that this proposed method can effec-tively improve the identification accuracy of radar emitter signals.关键词
雷达辐射源信号/脉冲描述字/复杂网络/有限可穿越视图/特征提取Key words
radar emitter signal/pulse descriptive word/complex network/limited penetrability visibility graph/feature extraction分类
信息技术与安全科学引用本文复制引用
陈韬伟,王会源,马一鸣,刘建业,段正泰..基于复杂网络建模的雷达辐射源信号脉间特征提取[J].火力与指挥控制,2024,49(12):77-84,92,9.基金项目
国家自然科学基金资助项目(61961042,61461051) （61961042,61461051）
