• DocumentCode
    3443658
  • Title

    Support vector machine radar emitter identification algorithm based on AP clustering

  • Author

    Weihua Xiao ; Hongchao Wu ; Chengzhi Yang

  • Author_Institution
    Dept. of Aviation Inf. Counterwork, Aviation Univ. of Air Force, Changchun, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    2062
  • Lastpage
    2064
  • Abstract
    This paper designs SVM radar emitter classification and identification methods based on the AP clustering. Using AP clustering algorithm to optimize the data set obtains a high-quality, small-sample training set of SVM classifier. Experimental results show that compared with the traditional SVM classifiers, the hybrid classifier has higher classification accuracy and furthermore Radar emitter classification and identification of the method is better.
  • Keywords
    radar; support vector machines; affinity propagation clustering; radar emitter identification; support vector machine; Accuracy; Classification algorithms; Clustering algorithms; Educational institutions; Radar; Support vector machines; Training; AP clustering; radar emitter identification; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625989
  • Filename
    6625989