• DocumentCode
    3735799
  • Title

    A Vehicular Positioning Enhancement with Connected Vehicle Assistance

  • Author

    Xuting Duan; Yunpeng Wang; Daxin Tian; Liang Sun;David G. Michelson;Victor C. M. Leung

  • Author_Institution
    Beijing Key Lab. for Cooperative Vehicle Infrastructure Syst. &
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach.
  • Keywords
    "Vehicles","Global Positioning System","TV","Covariance matrices","Frequency measurement","Doppler effect","Kalman filters"
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd
  • Type

    conf

  • DOI
    10.1109/VTCFall.2015.7390825
  • Filename
    7390825
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3735799