• DocumentCode
    2569303
  • Title

    Research on the method of parameters estimation in nuclear-explosion-yield detection

  • Author

    Minghu, Zhang ; Guicang, Pang ; Weicheng, Wang ; Hong, Liu ; Entian, Wang

  • Author_Institution
    Dept. of Underwater Weaponry & Chem. Defense, Dalian Naval Acad., Dalian
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    4580
  • Lastpage
    4584
  • Abstract
    For solving the questions that the practical value of the existing nuclear-explosion-yield detecting methods are excessively low, based on the grey theory and the precondition of plenty nuclear explosion test data opened by home and overseas, the new model detecting nuclear explosion yield has been developed, and using the state estimating equation of the data precondition, a kind of new optimal estimation method detecting the nuclear explosion yield and a kind of means identifying the bad data have been established. The result of the validation applying nuclear explosion test data indicated that the new optimal estimation method using the grey theory to estimate the nuclear explosion yield is feasible. Compared with the existing detecting technology, the new estimation method can reduce error range, advance precision, offset the deficiencies of the existing means detecting the nuclear explosion yield, and enlarge the practical application value of the existing estimation models detecting the nuclear explosion yield.
  • Keywords
    grey systems; nuclear explosions; parameter estimation; grey theory; nuclear-explosion-yield detection; parameters estimation; plenty nuclear explosion test; Parameter estimation; Data Preparation; Grey Theory; Nuclear-explosion-yield Detection; Parameters Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598197
  • Filename
    4598197