• DocumentCode
    257456
  • Title

    A research based on adaptive genetic algorithm optimal embattling method

  • Author

    Ye-yang Pan ; Jin-jie Yao

  • Author_Institution
    Nat. Key Lab., North Univ. of China, Taiyuan, China
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    In the high-speed flight target positioning, the base stations´ locations influence the target localization accuracy directly. As the traditional base station layout positioning precision is not high, this paper proposes an optimal layout base station scheme which is bassd on adaptive genetic algorithm. The paper introduces the GA from the selection crossover and mutation operations, with the geometrical factor -GDOP as fitness function, end rsalizes the ground stations optimal layout. The simutulion results show that the scheme can optimize the base stations´ locations, and improve the positioning precision of high speed targets.
  • Keywords
    direction-of-arrival estimation; genetic algorithms; target tracking; GDOP; adaptive genetic algorithm; base station layout positioning precision; fitness function; geometrical factor; high-speed flight target positioning; mutation operation; optimal embattling method; optimal layout base station scheme; selection crossover operation; target localization; Biology; Encoding; Instruments; Adaptive genetic algorithm; Cloth station optimization; Ground base station; TDOA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2014 IEEE/ACIS 13th International Conference on
  • Conference_Location
    Taiyuan
  • Type

    conf

  • DOI
    10.1109/ICIS.2014.6912105
  • Filename
    6912105