• DocumentCode
    2667722
  • Title

    Adaptive genetic algorithm evidence model and its application for discriminating enemy radar operation intention

  • Author

    Wei, Pan ; Wenjun, Li ; Jinsong, Yang

  • Author_Institution
    Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1088
  • Lastpage
    1093
  • Abstract
    Considering the signatures captured from information about the hostile radar operation intention, this paper puts forward concepts of the simplest evidence support format, duality evidence support format, and same-type evidence and so on. Based on these concepts, it discusses the problem of the orthogonal sum with the duality evidence support format expressed as the simplest evidence support format, and then, drawing its conclusion to show the relation between the enemy intention and the characteristic information. Thereby, it establishes a system for radar operation intention discrimination to complete the final determinant. This new model brings expression and combination of evidences simplified and computation reduced. By practical application, this algorithm has been proved feasibility and effectiveness.
  • Keywords
    genetic algorithms; image recognition; military radar; radar imaging; adaptive genetic algorithm evidence model; characteristic information; duality evidence support format; enemy radar operation intention; evidence combination; final determinant; hostile radar operation intention; radar operation intention discrimination; same-type evidence; simplest evidence support format; Adaptation models; Algebra; Computational modeling; Genetic algorithms; Genetics; Missiles; Radar; adaptive genetic algorithm; combination algorithm; evidence model; performance analysis; radar intention recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244173
  • Filename
    6244173