• DocumentCode
    105874
  • Title

    Community RF Sensing for Source Localization

  • Author

    Alimpertis, Emmanouil ; Fasarakis-Hilliard, Nikos ; Bletsas, Aggelos

  • Author_Institution
    Sch. of ECE, Tech. Univ. of Crete, Chania, Greece
  • Volume
    3
  • Issue
    4
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    This work experimentally demonstrates RF source location estimation error on the order of 50 m, with received signal strength (RSS) measurements, from a network of smartphone users, within 800 m (or more) from the source. This work incorporates careful modeling of the time-varying source transmission power, source antenna directionality (even with a simple 4-parameter model) and different path loss exponents among the various source-user links. More importantly, a vast number of RSS measurements is collected and exploited through the automated community smartphone network. The proposed methodology could be extended to other wireless scenarios.
  • Keywords
    particle filtering (numerical methods); smart phones; RF source location estimation error; RSS measurement; automated community smartphone network; community RF sensing; received signal strength measurement; source antenna directionality; source-user links; time-varying source transmission power; Antenna measurements; Atmospheric measurements; Communities; Directive antennas; Particle measurements; Radio frequency; Sensors; Localization; RF sources; RSS; community RF sensing; non-parametric estimation; particle filtering;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2014.2321741
  • Filename
    6810161