• DocumentCode
    1866714
  • Title

    Evaluating target discovery rate of AUV system

  • Author

    Zigang Cui ; Yingchun Chen ; Chang Li

  • Author_Institution
    Unit 91388, PLA, Zhanjiang 524022, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    1009
  • Lastpage
    1012
  • Abstract
    The target discovery rate of AUV (Autonomous Underwater Vehicle) system is one of the most important attributes of operational effectiveness. Evaluating the attribute requires a big sample size. It not only takes a long time, but also costs much. In order to solve these problems, the statistical test method for the target discovery rate of AUV system is adopted, based on the operational principle of AUV system and the mathematical model of projection and guidance. The target discovery rate is calculated based on test data and simulation test. The method makes full of test data during simulation, thus can effectively measure the target discovery rate at a small sample size.
  • Keywords
    Autonomous underwater vehicle; Monte Carlo; operational effectiveness; target discovery rate;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1147
  • Filename
    6492754