• DocumentCode
    2944171
  • Title

    Mobile tracking using UKF, time measures and LOS-NLOS expert knowledge

  • Author

    Huerta, Jose M. ; Vidal, Josep

  • Author_Institution
    Dep. of Signal Theor. & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
  • Volume
    4
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    The main difficulty for the location of terminals in wireless communications systems is the non line of sight (NLOS) situation caused by obstacles in the transmitted signal path, between the base stations and the user equipment. This NLOS situation biases TDOA measures, resulting in a biased final position. However, not all of the base stations may be in NLOS. Determining which base stations are in LOS can improve the accuracy of the system. It is feasible to estimate the reliability of the measures through the study of signal parameters like the delay spread, received power or previous position estimates. The objective of this paper is to analyze the improvements in positioning accuracy by tracking the terminal with an unscented Kalman filter (UKF) incorporating knowledge of NLOS-LOS situation. The evaluation of the approach has been carried out with measures taken in real scenarios.
  • Keywords
    Kalman filters; delay estimation; direction-of-arrival estimation; mobile radio; mobility management (mobile radio); tracking filters; LOS-NLOS expert knowledge; TDOA measures; UKF; base stations; biased final position; delay spread; mobile tracking; non line of sight situation; positioning accuracy; previous position estimates; received power; reliability; signal parameters; terminal location; time measures; unscented Kalman filter; wireless communications systems; Angular velocity; Base stations; Coordinate measuring machines; Gaussian processes; Histograms; Input variables; Noise measurement; Nonlinear equations; Random variables; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1416155
  • Filename
    1416155