• DocumentCode
    234777
  • Title

    Wireless Location on CPN Correction Environmental Factors

  • Author

    Zhifeng Lin ; Jiechang Wen ; Qiling Chen

  • Author_Institution
    Sch. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    This paper propose a method to deal with the complex nonlinear characteristics, which was caused by the uncertainty of the unknown. As the received signal strength is low in Non line-of-sight environment, the proposed algorithm can be used to process and predict the unknown nodes position by maximum likelihood estimation method. Furthermore, experimental results show that the mobile target tracking error can be less than 1m when we use the method mentioned above, thus meeting the requirements of smart space mobile targeting.
  • Keywords
    environmental factors; maximum likelihood estimation; wireless sensor networks; CPN correction environmental factors; complex nonlinear characteristics; maximum likelihood estimation method; mobile target tracking error; nodes position; non line-of-sight environment; received signal strength; smart space mobile targeting; wireless location; Educational institutions; Estimation; Neurons; Training; Vectors; Wireless communication; Wireless sensor networks; counter propagation networks; maximum likelihood estimate; received signal strength indicator(RSSI); wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.26
  • Filename
    7016867