• DocumentCode
    1765677
  • Title

    UWB-based localization in large indoor scenarios: optimized placement of anchor nodes

  • Author

    Monica, Stefania ; Ferrari, Gianluigi

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Parma, Parma, Italy
  • Volume
    51
  • Issue
    2
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    987
  • Lastpage
    999
  • Abstract
    In this paper, we consider the problem of locating a target node (TN) moving along a corridor in a large industrial environment by means of ultrawide band signaling from fixed anchor nodes (ANs) uniformly positioned at the same height on both sides of the corridor. For a representative geometry of a large indoor (industrial) scenario, we formulate an analytical approach to the optimized placement (in terms of internode distance) of ANs using the criterion of minimizing the average mean square error (MSE) in the time-difference-of-arrival-based estimated positions of the TN. Under the assumption of a fixed variance of the range estimation error, we derive a simple closed-form expression for the optimal inter-AN distance in terms of the corridor width and the height of the ANs. The effectiveness of the analytical approach is confirmed by simulations. We also show that the proposed approach allows the MSE in the TN position estimates to reach the Cramer Rao lower bound.
  • Keywords
    indoor navigation; mean square error methods; time-of-arrival estimation; ultra wideband communication; AN; Cramer Rao lower bound; MSE minimization; TN localization; UWB-based localization; anchor node placement; average mean square error minimization; indoor scenarios; range estimation error; target node localization; time-difference-of-arrival estimation; ultrawide band signaling; Approximation methods; Closed-form solutions; Covariance matrices; Estimation error; Mathematical model; Synchronization;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2014.130722
  • Filename
    7126159