基于瞬时频率二次特征提取的辐射源信号分类

普运伟; 金炜东; 胡来招

基于瞬时频率二次特征提取的辐射源信号分类

基金项目:

国家自然科学基金资助项目(60572143)

国防科技重点实验室预研基金资助项目(NEWL51435QT220401)

详细信息

作者简介:
普运伟(1972- ),男,博士研究生,研究方向为智能信号处理,电话:028-87551765,E-mail:puyunwe.@126.com；金炜东(1957- ),男,教授,博士生导师,主要研究方向为智能信息处理,E-mail: wdjin@sw jtu.edu.cn

普运伟(1972- ),男,博士研究生,研究方向为智能信号处理,电话:028-87551765,E-mail:puyunwe.@126.com；金炜东(1957- ),男,教授,博士生导师,主要研究方向为智能信息处理,E-mail: wdjin@sw jtu.edu.cn

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出版历程
- 收稿日期: 2006-06-30
- 刊出日期: 2007-06-25

Automatic Classification of Radar Emitter Signals Based on Cascade Feature Extractions

摘要

摘要: 提出了基于瞬时频率二次特征提取的雷达辐射源信号分类方法.首先利用改进的瞬时自相关算法提取信号的瞬时频率特征.在此基础上,对所获得的瞬时频率进行级联归一化处理,提取分类特征向量.最后,采用层次决策方法实现自动分类.仿真结果表明,该方法提取的特征向量具有较好的类间分离性,整体信号分类方案在信噪比不低于6 dB时,可获得90%以上的分类准确率.
- 雷达辐射源 /
- 瞬时频率 /
- 特征提取 /
- 信号分类 /
- 自相关算法
Abstract: A scheme of automatic classification of radar emitter signals was presented,which is based on cascade feature extractions.First,an improved instantaneous autocorrelation algorithm is performed to extract instantaneous frequencies of typical radar emitter signals.Then,the extracted instantaneous frequencies are normalized twice to obtain the classification characteristic vector.Finally,the hierarchical decision approach is used to classify radar signals automatically.The results of simulation show that the classification characteristics vector has good separation property between clusters,and the proposed approach achieves a correct rate of above 90%,even when the signal-to-noise ratio is as low as 6 dB.
- radar emitter /
- instantaneous frequency /
- feature extraction /
- signal classification /
- autocorrelation algorithm

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参考文献(1)

李合生,韩宇,蔡英武,等.雷达信号分选关键技术研究综述[J].系统工程与电子技术,2005,27(12):2 035-2 040.LI Hesheng,HAN Yu,CAI Yingwu,et al.Overview of the crucial teehnology research for radar signal sorting[J].Systems Engineering and Electronics,2005,27(12):2 035-2 040.[2] 张葛祥,荣海娜,金炜东.支持向量机在雷达辐射源信号识别中的应用[J].西南交通大学学报,2006,41(1):25-30.ZHANG Gexiang,RONG Haina,JIN weidong.Application of support Vector machine to radar emitter signal recognition[J].Journal of Southwest Jiaotong University,2006,41(1):25-30.[3] KAWALEC A.OWCZAREK R.Radar emitter recognition using intrapulse data[C]// Proceedings of 15th International Conference on Radar and Wireless Communications.Warsaw:IEEE Press,2004:435-438.[4] IVANOVIC V N,DAKOVIC M,STANKOVIC L.Performance of quadratic time-frequency distributions as instantaneous frequency estimators[J].IEEE Trans.Signal Processing,2003,51(1):77-89.[5] BOUALEM B.Estimating and interpreting the instantaneous frequency of a signal-Part Ⅱ:algorithms and application[J].Proceedings of the IEEE,1992,80(4):540-568.[6] 毕大平,董晖,姜秋喜.基于瞬时频率的脉内调制识别技术[J].电子对抗技术,2005,20(2):6-9.BI Daping,DONG Hui,JIANG Qiuxi.In pulse modulation identification technique by instant frequency[J].Electronic Countermeasure Technique,2005,20(2):6-9.[7] 黄知涛,周一宇,姜文利.基于相对元模糊相位重构的自动脉内调制特性分析[J].通信学报,2003,24(4):153-160.HUANG Zhitao,ZHOU Yiyu,JIANG Wenli.The automatic analysis of intrapulse modulation characteristics based on the relatively non-ambiguity plase restoral[J].J.of China Institute of Communications,2003,24(4):153-160.[8] DELPART N.Asymptotic wavelet and Gabor analysis:extraction of instantaneous frequencies[J].IEEE Trans.Information Theory,1992,38(3);644-664.[9] GUSTAVO L R,JESUS G,ALVORA S O.Digital channelized receiver based on time-frequency analysis for signal interception[J].IEEE Trans,Aerospace and Electronic Systems,2005,41(3):879-898.[10] 胡波.脉内特征提取在信号调制形式识别中的应用[J].雷达与对抗,2005(2):35-38.HU Bo.Application of in-oulse feature extraction in signal modulation form identification[J].Radar and Countermeasure,2005(2):35-38.

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文章访问数: 1693
HTML全文浏览量: 92
PDF下载量: 513
被引次数: 0

基于瞬时频率二次特征提取的辐射源信号分类

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出版历程

Automatic Classification of Radar Emitter Signals Based on Cascade Feature Extractions

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出版历程

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