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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%.

     

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出版历程
  • 收稿日期:  2006-01-19
  • 刊出日期:  2007-04-25

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