• DocumentCode
    626783
  • Title

    Gating and robust EKF based target tracking in mixed LOS/NLOS environments

  • Author

    Lili Yi ; Razul, Sirajudeen Gulam ; Zhiping Lin ; Chong-Meng See

  • Author_Institution
    Sch. of EEE, Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    1364
  • Lastpage
    1367
  • Abstract
    A simple but effective approach based on gating and robust extended Kalman filtering (EKF) is proposed for target tracking in mixed line-of-sight and non-line-of-sight (LOS/NLOS) environments, using time-of-arrival (TOA) measurements. Utilizing a gating based detection method determined by the statistical properties of the TOA measurements, a confidence region is derived. Most of the LOS TOA measurements can be effectively selected from all mixture measurements using the properly defined confidence region. These selected LOS TOA measurements are then passed on to the dynamic robust EKF to do the target tracking. Simulations have shown the proposed tracking approach has outperformed both the classic rEKF as well as a recent target tracking approach. Moreover, the proposed approach does not require any statistical knowledge of the NLOS error and only assumes that the standard deviation of the LOS noise is known.
  • Keywords
    Kalman filters; nonlinear filters; signal detection; target tracking; time-of-arrival estimation; EKF-based target tracking; LOS noise; NLOS error; confidence region; dynamic robust EKF; gating-based detection method; mixed LOS-NLOS environment; mixture measurement; selected LOS TOA measurement; statistical knowledge; statistical properties; target tracking approach; time-of-arrival measurement; Mathematical model; Noise; Noise measurement; Nonlinear optics; Robustness; Target tracking; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6572108
  • Filename
    6572108