• DocumentCode
    624586
  • Title

    An Exponential-Rayleigh signal strength model for device-free localization and tracking with wireless networks

  • Author

    Yao Guo ; Kaide Huang ; Nanyong Jiang ; Xuemei Guo ; Guoli Wang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
  • fYear
    2013
  • fDate
    9-11 June 2013
  • Firstpage
    108
  • Lastpage
    113
  • Abstract
    We present a new statistic signal strength model, called Exponential-Rayleigh (ER) model, for device-free (DF) target localization and tracking issues in this paper. It is a single target measurement model for radio frequency (RF) based on received signal strength (RSS) measurement in outdoor regions. The model is a non-linear function between RSS measurements and target motion state. It consists of three parts: the largescale exponential attenuation part, the small-scale Rayleigh enhancement part and the noise. Different from the proposed models, while reserving the large-scale attenuation, we mainly present the small-scale Rayleigh enhancement model in ER model. The Rayleigh part depicts the multi-path caused by single target so as to reduce the multi-path error. In the context of localization and tracking experiment using particle filter, we validate the effectiveness of ER model.
  • Keywords
    particle filtering (numerical methods); radio networks; target tracking; DF target localization; ER model; RF; RSS measurement; device-free localization; device-free tracking; exponential-Rayleigh signal strength model; large-scale exponential attenuation; multipath error; nonlinear function; particle filter; radio frequency; received signal strength; statistic signal strength model; target measurement model; target motion state; wireless network; Attenuation; Data models; Erbium; Mathematical model; Radio frequency; Sensors; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-6248-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2013.6568050
  • Filename
    6568050