• DocumentCode
    65967
  • Title

    Indoor Tracking: Theory, Methods, and Technologies

  • Author

    Dardari, Davide ; Closas, Pau ; Djuric, Petar M.

  • Author_Institution
    Dept. of Electr., Electron., & Inf. Eng., Univ. of Bologna, Cesena, Italy
  • Volume
    64
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    1263
  • Lastpage
    1278
  • Abstract
    In the last decade, the research on and the technology for outdoor tracking have seen an explosion of advances. It is expected that in the near future, we will witness similar trends for indoor scenarios where people spend more than 70% of their lives. The rationale for this is that there is a need for reliable and high-definition real-time tracking systems that have the ability to operate in indoor environments, thus complementing those based on satellite technologies, such as the Global Positioning System (GPS). The indoor environments are very challenging, and as a result, a large variety of technologies have been proposed for coping with them, but no legacy solution has emerged. This paper presents a survey on indoor wireless tracking of mobile nodes from a signal processing perspective. It can be argued that the indoor tracking problem is more challenging than the problem on indoor localization. The reason is simple: From a set of measurements, one has to estimate not one location but a series of correlated locations of a mobile node. The paper illustrates the theory, the main tools, and the most promising technologies for indoor tracking. New directions of research are also discussed.
  • Keywords
    Global Positioning System; mobile communication; signal processing; GPS; global positioning system; high-definition real-time tracking systems; indoor environments; indoor localization; indoor scenarios; indoor tracking; indoor tracking problem; indoor wireless tracking; mobile nodes; outdoor tracking; satellite technologies; signal processing perspective; Accuracy; Estimation; Magnetometers; Mobile nodes; Position measurement; Wireless communication; Bayesian filtering; Indoor tracking; data fusion; indoor tracking; simultaneous localization; simultaneous localization and mapping (SLAM); technologies for tracking;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2015.2403868
  • Filename
    7042271