• DocumentCode
    1256896
  • Title

    RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms

  • Author

    Patwari, Neal ; Wilson, Joey

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    98
  • Issue
    11
  • fYear
    2010
  • Firstpage
    1961
  • Lastpage
    1973
  • Abstract
    In this paper, we discuss the emerging application of device-free localization (DFL) using wireless sensor networks, which find people and objects in the environment in which the network is deployed, even in buildings and through walls. These networks are termed “RF sensor networks” because the wireless network itself is the sensor, using radio-frequency (RF) signals to probe the deployment area. DFL in cluttered multipath environments has been shown to be feasible, and in fact benefits from rich multipath channels. We describe modalities of measurements made by RF sensors, the statistical models which relate a person´s position to channel measurements, and describe research progress in this area.
  • Keywords
    multipath channels; statistical analysis; wireless sensor networks; RF sensor networks; device-free localization; multipath channels; radio-frequency signals; statistical models; wireless sensor networks; Area measurement; Electromagnetic measurements; Millimeter wave technology; Position measurement; RF signals; Radar signal processing; Radio frequency; Sensor systems; Signal processing algorithms; Wireless sensor networks; Fading; multistatic radar; radiowave propagation; sensor systems and applications; signal processing; wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2010.2052010
  • Filename
    5523907