• DocumentCode
    2819562
  • Title

    Segment Clustering Radar Signal Sorting

  • Author

    Guo, Qiang ; Xu, Wei ; Wang, Changhong ; Guan, Di

  • Author_Institution
    Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    943
  • Lastpage
    946
  • Abstract
    Radar signal sorting is picking-up pulse serial of same radar emitter from dense complex pulse signal flow. The tolerance of radar signal sorting is analyzed in modern electronic warfare. The complex and dense pulses environment makes it become a vital factor to restrict the efficiency of sorting of the conventional multi-parameters signal sorting system. A segment clustering radar signal sorting method is presented based on support vector clustering (SVC) according to the idea of statistics learning theory. It prevents tolerance from affecting radar sorting. The accuracy of sorting and the sensitivity of algorithm on parameter variation is analyzed. The experimental results show that the sorting method presented is effective to overcome the tolerance of radar signal sorting.
  • Keywords
    pattern clustering; radar signal processing; sorting; statistical analysis; support vector machines; complex pulse signal flow; radar emitter; radar signal sorting; segment clustering; statistics learning theory; support vector clustering; Data mining; Pulse measurements; Radar measurements; Radio frequency; Signal analysis; Signal processing; Sorting; Space technology; Space vector pulse width modulation; Spaceborne radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.439
  • Filename
    5193849