• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus 收录
  • 全国中文核心期刊
  • 中国科技论文统计源期刊
  • 中国科学引文数据库来源期刊

基于频率和形状特征的脉冲重复间隔调制识别

荣海娜 张葛祥 金炜东

荣海娜, 张葛祥, 金炜东. 基于频率和形状特征的脉冲重复间隔调制识别[J]. 西南交通大学学报, 2007, 20(2): 194-199.
引用本文: 荣海娜, 张葛祥, 金炜东. 基于频率和形状特征的脉冲重复间隔调制识别[J]. 西南交通大学学报, 2007, 20(2): 194-199.
RONG Haina, ZHANG Gexiang, JIN Weidong. Pulse Repetition Interval Modulation Recognition Based on Frequencies and Patterns[J]. Journal of Southwest Jiaotong University, 2007, 20(2): 194-199.
Citation: RONG Haina, ZHANG Gexiang, JIN Weidong. Pulse Repetition Interval Modulation Recognition Based on Frequencies and Patterns[J]. Journal of Southwest Jiaotong University, 2007, 20(2): 194-199.

基于频率和形状特征的脉冲重复间隔调制识别

基金项目: 

国家自然科学基金资助项目(60572143)

详细信息
    作者简介:

    荣海娜(1980- ),女,博士生,研究方向为智能信息处理与模式识别,E-mail:ronghaina@126.com

    通讯作者:

    金炜东(1959- ),男,教授,博士生导师,主要研究方向为智能信息处理、系统坊真,E-mail:wdjin@vip.sina.com

Pulse Repetition Interval Modulation Recognition Based on Frequencies and Patterns

  • 摘要: 根据雷达信号脉冲序列的特点,从雷达脉冲信号中提取频率特征和形状特征,构成二维特征向量,并用支持向量机设计多类别分类器,实现雷达信号PRI调制信号的自动识别,实验结果表明,对特征向量进行大幅度降维(从64维降到2维)后,既简化了分类器,又保持或提高了识别率和抗噪声性能.与原特征向量相比,对无噪样本的误识率从0.15%-0.25%降低到0.00%,对有噪样本的误识率从0.40%-1.30%降低到0.15%-0.93%.

     

  • NOONE G P.A neural approach to automatic pulse repetition interval modulation recognition[C]// Proceedings of International Conference on Information,Decision and Control,1999,213-218.[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] ZHANG Gexiang,RONG Haina,JIN Weidong,et al.Radar emitter signal recognition based on resemblance coefficient features[C]// Lecture Notes in Artificial Intelligence.Berlin:Springer Verlag,2004,3066:665-670.[4] 王伟,杨晓玲.一种基于TOA差值矩阵的辐射源识别方法[J].航天电子对抗,2004,(1):48-51.WANG Wei,YANG Xiaoling.An emitter recognition inethod based on TOA difference matrix[J].Aerospace Electronic Warfare,2004,(1):48-51.[5] NOONE G P.A neural approach to tracking radar pulse repetition interval modulation[C]//Proceedings of 6th International Conference on Neural Information Processing,1999,3:1 075-1 080.[6] MARDIA H K.New technique for the deinterleaving of repetitive sequences[J].IEE Proceedings,Part F:Communications,Radar and Signal Processing,1989,136(4):149-154.[7] MILOJEVIC D J,POPOVIC B M.Improved algorithm for the deinterleaving of radar pulses[J].IEE proceedings,Part F:Radar and Signal Processing,1992,139(1):98-104.[8] VAPNIK V.Statistical learning theory[M].许建华,张学工,译.北京:电子工业出版社,2004.[9] HSU C W,LIN C J.A comparison of methods for multiclass support vector machines[J].IEEE Transactions on Neural Networks,2002,13(2):415-425.[10] FURNKRANZ J.Round robin classification[J].Journal of Machine Learning Research,2002,2(4):721-747.[11] ZADROZNY B.Reducing multiclass to binary:a unifying approach for margin classifiers[J].Journal of Machine Learning Research,2001,1(2):113-141.[12] PLATT J C,CRISTIANINI N,SHAWE T J.Large margin DAGs for multiclass classification[C]// Advances in Neural Information Processing System.MIT Press,2000,547-553.
  • 加载中
计量
  • 文章访问数:  1563
  • HTML全文浏览量:  76
  • PDF下载量:  327
  • 被引次数: 0
出版历程
  • 收稿日期:  2006-01-19
  • 刊出日期:  2007-04-25

目录

    /

    返回文章
    返回