• DocumentCode
    2305275
  • Title

    Hybrid GPS/TDOA location algorithm in non-line-of-sight environment

  • Author

    Gong Fuxiang ; Zhang Xiaoguo

  • Author_Institution
    State Grid Electr. Sci. Res. Inst., China Realtime DataBase Co., Ltd., Nanjing, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    2033
  • Lastpage
    2036
  • Abstract
    Under certain bad conditions, the number of observed GPS satellites is less than 4 for location determination, and TDOA location method in cellular networks can´t get enough TDOA measurements to position the mobile. Steepest decent method used to fuse GPS pseudo-range and TDOA Observations to resolve the problem is introduced. Then Kaiman filter is proposed to deep process the location data. Field experiment is conducted to verify the algorithms. Results show that GPS/TDOA Kaiman Filter integrated navigation algorithm can achieve higher accurate location.
  • Keywords
    Global Positioning System; Kalman filters; cellular radio; time-of-arrival estimation; GPS pseudo-range; GPS satellites; GPS-TDOA Kalman filter integrated navigation algorithm; TDOA location method; TDOA measurements; TDOA observations; cellular networks; hybrid GPS-TDOA location algorithm; nonline-of-sight environment; steepest decent method; Kaiman Filter; NLOS; Steepest Decent Method; TDOA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526318
  • Filename
    6526318