信号与信息处理

雷达辐射源个体特征的提取与识别

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  • 1. 哈尔滨工程大学信息与通信工程学院,哈尔滨150001
    2. 中国人民解放军95862部队,哈尔滨150030
    3. 中国人民解放军73613部队,上海201600
陈涛,副教授,博士,研究方向:宽带信号检测、处理及识别,E-mail:chentao@hrbeu.edu.cn

收稿日期: 2011-08-31

  修回日期: 2012-03-06

  网络出版日期: 2012-03-06

基金资助

国家自然科学基金(No.61201410);中央高校基本科研业务费专项资金(No.HEUCF120802)资助

Extraction and Identification of Radar Emitter Individual Characteristics

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  • 1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
    2. People’s Liberation Army Unit 95862, Harbin 150030, China
    3. People’s Liberation Army Unit 73613, Shanghai 201600, China

Received date: 2011-08-31

  Revised date: 2012-03-06

  Online published: 2012-03-06

摘要

针对雷达辐射源个体特征,应用波形熵和能量熵对经过围线积分后的双谱估计结果进行特征提取,并根据此特征构成的二维特征向量实行后续的个体识别码. 针对二维特征向量识别,应用质心距离法分析提取出二维特征向量,对此二维特征向量所对应的雷达辐射源个体进行识别,并与模糊C-均值聚类法进行对比分析. 通过仿真实验和实测分析,验证了所提方法能在一定信噪比下对雷达辐射源个体进行正确的识别.

本文引用格式

陈涛1, 姚文杨1, 林金秋2, 胡志华3 . 雷达辐射源个体特征的提取与识别[J]. 应用科学学报, 2013 , 31(4) : 368 -374 . DOI: 10.3969/j.issn.0255-8297.2013.04.006

Abstract

 To solve the problem of radar emitter individual identification, we propose to use the wave shape entropy and energy entropy to extract characteristics from surrounding-line integral bispectrum estimate results,based on the 2D characteristic vector composed of the characteristics to identify radar emitter individuals.Then, to identify the 2D characteristic vector, we propose barycenter distance in analyzing the 2D characteristic vector in order to identify homologous radar emitter individuals, and compare it with the fuzzy C-mean clustering method. Computer simulation and experimental results verify the correctness and effectiveness of the proposed method in identifying radar emitter individuals at certain signal-to-noise ratio.

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