• DocumentCode
    3430773
  • Title

    A novel eliminating approach for spacial variability in indoor localization

  • Author

    Xiansheng Guo ; Qun Wan ; Baogen Xu ; Zhongchu Rao

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    6-10 July 2013
  • Firstpage
    197
  • Lastpage
    200
  • Abstract
    Spacial variability of Received Signal Strength measurements (RSS) is the fluctuation of measured RSS at a fixed location in difference time, which is the main reason for low accuracy and bad robustness of some existing indoor localization techniques. In this paper, we proposed a novel approach to eliminate space variability of RSS in indoor localization. The merits of our proposed method is twofold. First, our proposed method does not require the process of RSS fingerprinting constructing, which is a huge burden of localization methods based on RSS. Secondly, our proposed method is more robust than some existing methods, such as TOA-based method and RSS-based method, in big measurement error case. The efficacy of our proposed method are proven by means of some experimental results.
  • Keywords
    indoor communication; measurement errors; RSS; indoor localization techniques; measurement error; received signal strength measurements; space variability elimination; Databases; Equations; Estimation; Mathematical model; Robustness; Time measurement; Transforms; Indoor localization; propagation model; spacial variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2013.6625327
  • Filename
    6625327