• DocumentCode
    69862
  • Title

    Joint TOA and DOA Localization in Indoor Environment Using Virtual Stations

  • Author

    Deliang Liu ; Kaihua Liu ; Yongtao Ma ; Jiexiao Yu

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • Volume
    18
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    1423
  • Lastpage
    1426
  • Abstract
    This letter presents a geometrical localization approach that is able to locate a mobile station in non-line-of-sight (NLOS) and multipath conditions using time-of-arrival (TOA) and direction-of-arrival (DOA) estimates. The novelty of our work resides in converting the NLOS problem into a line-of-sight problem with virtual stations, even if the signal undergoes multiple-bound scattering, which has not been resolved in previous works. We also develop a two-step weighted least squares (TSWLS) positioning estimator using the hybrid TOA and DOA values. Simulation results demonstrate the effectiveness of the proposed method.
  • Keywords
    direction-of-arrival estimation; geometry; indoor radio; mobile radio; radiowave propagation; regression analysis; time-of-arrival estimation; NLOS problem; NLOS radio propagation; TSWLS positioning estimator; direction-of-arrival estimates; geometrical localization approach; indoor environment; joint DOA localization; joint TOA localization; mobile station; multipath radio propagation; multiple-bound scattering; non line-of-sight problem; time-of-arrival estimates; two-step weighted least squares positioning estimator; virtual stations; Diffraction; Direction-of-arrival estimation; Indoor environments; Mobile communication; Scattering; Signal processing algorithms; Simulation; Localization; NLOS; multipath; virtual station;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.2333006
  • Filename
    6843967