• DocumentCode
    2678480
  • Title

    A Novel Sorting Method of Radar Signals Based on Support Vector Clustering and Delaminating Coupling

  • Author

    Guo, Qiang ; Zhang, Xingzhou ; Li, Zheng

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Harbin Eng. Univ.
  • Volume
    2
  • fYear
    2006
  • fDate
    17-19 July 2006
  • Firstpage
    839
  • Lastpage
    844
  • Abstract
    Modern electronic warfare faces complex and dense pulses environments, which brings a severe challenge to radar signal sorting. A novel sorting method is presented based on delaminating coupling and support vector clustering (SVC) in this paper. The 3-dimension feature information is composed of direction of arrival, radio frequency and pulse width in this method which sorts radar pulse sequences for the very first time by employing support vector clustering and delaminating coupling. The experiment result shows that the method can sort efficiently radar signals in the complex pulses environment and the performance is superior to that of K-means clustering sorting
  • Keywords
    direction-of-arrival estimation; electronic warfare; feature extraction; military computing; pattern clustering; radar signal processing; sorting; support vector machines; 3D feature information; K-means clustering sorting; delaminating coupling; direction of arrival; electronic warfare; pulse width; radar signal sorting; radio frequency; support vector clustering; Clustering algorithms; Data mining; Kernel; Lagrangian functions; Radar; Radio frequency; Sorting; Space vector pulse width modulation; Static VAr compensators; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0475-4
  • Type

    conf

  • DOI
    10.1109/COGINF.2006.365600
  • Filename
    4216518