基于BP网络和支持向量机的雷达高分辨距离像识别High Resolution Range Profile Identification of Radar Based on SVM and BP Network
柴月君,杨万麟
摘要(Abstract):
利用雷达目标识别的重要手段之一高分辨距离像,使用误差反传前馈神经网络和支持向量机两种方法分别对其进行识别,并比较二者的识别性能。实验结果表明二者具有相似的抗噪性能和相位角敏感性,而后者的平均识别率较前者有所提高,且对同一样本集支持向量机的识别结果比较稳定。
关键词(KeyWords): 高分辨距离像;支持向量机(SVM);BP人工神经网络;雷达目标识别
基金项目(Foundation):
作者(Author): 柴月君,杨万麟
参考文献(References):
- [1]周代英.雷达目标一维距离像识别研究[D].成都:电子科技大学,2001.
- [2]Li Ying,Ren Rong,Shan Xiuming.Radar HRRP Classifica-tion with Support Vector Machines[J].Info tech and Infonet Proceedings Beijing 2001 International Conferences on.2001,1(29):218 222.
- [3]Li Ying,Ren Yong,Shan Xiuming,et al.Aircraft HRRPClassification Based on RBFNN[J].2001 CIE InternationalConference on Proceedings,2001.471 474.
- [4]Wang Xiaodan,Wang Jiqin.Support Vector Machine forHRRP Classification[J].Signal Processing and Its Applica-tions,2003.Proceedings.7th International Symposium on,2003,1(1 4):337 340.
- [5]殷勤业,杨宗凯,谈正.模式识别与神经网络[M].北京:机械工业出版社,1992.
- [6]边肇祺,张学工.模式识别[M].2版.北京:清华大学出版社,2002.
- [7]Chih Chung Chang,Chih Jen Lin.LIBSVM:A Library forSupport Vector Machines[R].Technical Report,Depart-ment of Computer Science and Information Engineering,Na-tional Taiwan University,2005:http://www.csie.ntu.edu.tw/~cjlin/.
- [8]Chih Wei Hsu,Chih Chung Chang,Chih Jen Lin.A PracticalGuide to Support Vector Classification[R].Technical Re-port,Department of Computer Science and Information En-gineering,National Taiwan University,2001:http://www.csie.ntu.edu.tw/~cjlin.