• DocumentCode
    189442
  • Title

    Antenna arrays for RSS based indoor localization systems

  • Author

    Laurijssen, Dennis ; Steckel, Jan ; Weyn, Maarten

  • Author_Institution
    CZT, Univ. of Antwerp, Wilrijk, Belgium
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    In current state-of-the-art received signal strength-based localization systems a single omnidirectional antenna is often used on the receiver nodes in the wireless network. Using receiver nodes equipped with these antennas will result in received signal strength distributions with little spatial variation. Since there are less unique data points, there will be ambiguity present in the location estimate. We therefore wish to increase the diversity in the received signal strength value distribution throughout the environment by employing an antenna array. This will result in received signal strength distributions containing less ambiguities in the location estimate. Using a methodology based on mutual information, the proposed localization system using antenna arrays in the fixed receiver nodes of the network and a probabilistic radio frequency pattern matching algorithm is evaluated. This evaluation shows that the amount of ambiguities in the location estimates is reduced compared to the same localization system using omnidirectional antennas in the fixed receiver nodes.
  • Keywords
    RSSI; antenna arrays; estimation theory; indoor navigation; omnidirectional antennas; pattern matching; probability; RSS; antenna arrays; indoor localization systems; location estimate; omnidirectional antenna; probabilistic radio frequency pattern matching algorithm; received signal strength distributions; IEEE Xplore; Pattern matching; Presses; Receiving antennas; Transmitting antennas; Antennas; Arrays; RTLS; Signal Processing; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6984983
  • Filename
    6984983