• DocumentCode
    1683640
  • Title

    A marginalised particle filter for bearings-only tracking

  • Author

    Morelande, Mark R.

  • Author_Institution
    Melbourne Syst. Lab., Univ. of Melbourne, Parkville, VIC, Australia
  • fYear
    2013
  • Firstpage
    6298
  • Lastpage
    6302
  • Abstract
    A marginalised particle filter (PF) for bearings-only tracking in modified polar coordinates (MPC) is developed. Using an Euler approximation to the dynamical equation it is shown that the range can be marginalised out so that only the three remaining elements of the state vector need to be sampled in the PF. The marginalised PF in MPC is shown to significantly outperform existing PFs for BOT in a numerical example.
  • Keywords
    approximation theory; particle filtering (numerical methods); Euler approximation; MPC; PF; bearings-only tracking; dynamical equation; marginalised particle filter; modified polar coordinates; Approximation methods; Atmospheric measurements; Equations; Noise; Particle measurements; Radar tracking; Vectors; Particle filters; bearings-only tracking; nonlinear filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638877
  • Filename
    6638877