• DocumentCode
    2203760
  • Title

    A new hybrid algorithm on TDOA localization in wireless sensor network

  • Author

    HongyuShi ; Cao, Jianzhong

  • Author_Institution
    Dept. of Electron. Sci., Huizhou Univ., Huizhou, China
  • fYear
    2011
  • fDate
    6-8 June 2011
  • Firstpage
    606
  • Lastpage
    610
  • Abstract
    A hybrid algorithm for TDOA localization is proposed in this paper. It has well combined the advantages of genetic algorithm and quasi-Newton algorithm. The hybrid algorithm has sufficiently displayed the characteristics of genetic algorithm´s group searching and quasi-Newton method´s local strong searching. At the same time it effectively overcomes the problem of high sensitivity to initial point of quasi-Newton method and shortcoming of genetic algorithm which reduces the searching efficiency in later period. The experimental results show that if the parameters are assumed reasonably the hybrid algorithm has extremely stability, higher localization rate and localization precision than genetic algorithm and quasi-Newton algorithm.
  • Keywords
    Newton method; direction-of-arrival estimation; genetic algorithms; search problems; time-of-arrival estimation; wireless sensor networks; TDOA localization hybrid algorithm; genetic algorithm group searching method; quasiNewton local strong searching method; wireless sensor network; Algorithm design and analysis; Biological cells; Equations; Genetic algorithms; Genetics; Search problems; Signal processing algorithms; Genetic Algorithm; Localization; Quasi _Newton Algorithm; TDOA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2011 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4577-0268-6
  • Electronic_ISBN
    978-1-4577-0269-3
  • Type

    conf

  • DOI
    10.1109/ICINFA.2011.5949066
  • Filename
    5949066