• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 20 Issue 6
Dec.  2007
Turn off MathJax
Article Contents
ZHU Ming, JIN Weidong, HU Laizhao. Cascade Feature Extraction for Radar Emitter Signals Based on Atomic Decomposition[J]. Journal of Southwest Jiaotong University, 2007, 20(6): 659-664.
Citation: ZHU Ming, JIN Weidong, HU Laizhao. Cascade Feature Extraction for Radar Emitter Signals Based on Atomic Decomposition[J]. Journal of Southwest Jiaotong University, 2007, 20(6): 659-664.

Cascade Feature Extraction for Radar Emitter Signals Based on Atomic Decomposition

  • Received Date: 12 Sep 2006
  • Publish Date: 25 Dec 2007
  • A cascade feature extraction for radar emitter signals based on atomic decomposition was proposed.Radar emitter signals are decomposed into a linear expansion of atoms by the method of matching pursuit(MP) based on an over-complete dictionary of Gaussian chirplet atoms,and an improved quantum genetic algorithm is applied to reduce the time-complexity of each search step of MP.In this way,optimal chirplet atoms representing features of signals are obtained.Then,the characteristic vectors of atoms are extracted to get strong-discrimination.Experimental results on 5 typical radar emitter signals show that the extracted atoms have good ability to cluster the same radar signals and separate different radar signals,which confirms the validity and feasibility of the proposed approach.

     

  • loading
  • 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 technology research for radar signal sorting[J].Systems Engineering and Electronics,2005,27(12):2 035-2 040.[2] 张葛祥,胡来招,金炜东.雷达辐射源信号脉内特征分析[J].红外与毫米波学报,2004,23(6):476-480.ZHANG Gexiang,HU Laizhao,JIN Weidong.Intra-pulse feature analysis of radar emitter signals[J].J.Infrared Millim.Waves,2004,23(6):476-480.[3] KAWALEC A,OWCZAREK R.Radar emitter recognition using intrapulse data[C] //Proc.of 15th Int.Conf.on Microwaves.Radar and Wireless Communications.Warsaw:IEEE Press,2004,2:435-438.[4] 吴江标,万方,郁春来.基于小波变换法的相位编码信号脉内特征提取[J].航天电子对抗,2005,21(3):38-40.WU Jiangbiao,WAN Fang,YU Chunlai.Intra-pulse feature extraction of PSK via wavelet transform[J].Spaceflight Electronic Warfare,2005,21(3):38-40.[5] MALLAT S,ZHANG Z.Matching pursuit with time-frequency dictionaries[J].IEEE Trans.on Signal Processing,1993,41(12):3 397-3 415.[6] LOBO A P,LOIZOU P C.Voiced/unvoiced speech discrimination in noise using Gabor atomic decomposition[C] //Prec.of IEEE Int.Conf.on Acoustics,Speech,and Signal Processing.Hongkong:IEEE Press,2003:820-828.[7] 张文耀.基于匹配跟踪的低位率语音编码研究[D].博士学位论文.北京:中国科学院研究生院软件研究所,2002.[8] ZHU Ming,PU Yunwei,JIN Weidong,et al.A time-frequency atom approach to radar emitter signal feature extraction[C] //Proc.of 2006 IEEE Int.Conf.on Communications,Circuits and Systems.Chengdu:The UESTC Publishing House,2006,1:615-619.[9] MANN S,HAYKIN S.The chirplet transform:physical considerations[J].IEEE Trans.on Signal Processing,1995,43(11):2 745-2 761.[10] 尹忠科,王建英,邵君.基于原子库结构特性的信号稀疏分解[J].西南交通大学学报,2005,40(2):173-178.YIN Zongke,WANG Jianying,SHAO Jun,Sparse decomposition based on structural properties of atom dictionary[J].Journal of Southwest Jiaotong University,2005,40(2):173-178.[11] 张葛祥,李娜,金炜东,等.一种新量子遗传算法及其应用[J].电子学报,2004,32(3):476-479.ZHANG Gexiang,LI Na,SIN Weidong,et al.A novel quantum genetic algorithm and its application[J].ACTA Electronica Sinica,2004,32(3):476-479.[12] 张葛祥,金炜东.量子遗传算法的改进及其应用[J].西南交通大学学报,2003,38(6):717-722.ZHANG Gexiang.JIN Weidong.Improvement of quantum genetic algorithm and its application[J].Journal of Southwest Jiaotong University,2003,38(6):717-722.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1747) PDF downloads(481) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return