• DocumentCode
    1556593
  • Title

    Multiple Unresolved Target Localization and Tracking using Colocated MIMO Radars

  • Author

    Gorji, A.A. ; Tharmarasa, R. ; Blair, W.D. ; Kirubarajan, T.

  • Author_Institution
    McMaster Univ., Hamilton, ON, Canada
  • Volume
    48
  • Issue
    3
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    2498
  • Lastpage
    2517
  • Abstract
    In this paper localization and tracking of multiple unresolved targets using a colocated multiple input multiple output (MIMO) radar is addressed. The commonly-used model for colocated MIMO radars is modified in order to guarantee the observability in received measurements. Then, a maximum likelihood estimator is derived for localizing multiple targets falling within a certain resolution cell. The Cramer-Rao lower bound (CRLB) for localization with the new model is also derived. For the tracking part, a multiple-hypothesis-based approach is used to deal with the uncertainty in target state estimation. In addition, an unscented Kalman filter (UFK) based estimator is used to tackle the nonlinearity in the measurement model. Finally, the posterior CRLB (PCRLB) is derived to evaluate the consistency of tracking results. Simulation results confirm the superiority of the proposed approach in resolving multiple targets over using the standard localization results for tracking.
  • Keywords
    Kalman filters; MIMO radar; maximum likelihood estimation; radar tracking; PCRLB; UFK based estimator; colocated MIMO radars; colocated multiple input multiple output radar; maximum likelihood estimator; multiple unresolved target localization; multiple unresolved target tracking; multiple-hypothesis-based approach; posterior Cramer-Rao lower bound; target state estimation; unscented Kalman filter based estimator; MIMO radar; Matched filters; Radar tracking; Receivers; Target tracking; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2012.6237605
  • Filename
    6237605