• DocumentCode
    549015
  • Title

    Sequential multiple-model detection of target maneuver termination

  • Author

    Liu, Yu ; Li, X. Rong

  • Author_Institution
    Dept. of Electr. Eng., Univ. of New Orleans, New Orleans, LA, USA
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Although methods for target maneuver onset detection (MOD) abound, few have been proposed for target maneuver termination detection (MTD), since MOD is easier and considered more important. Without MTD, however, decision based maneuvering target tracking is not complete and may suffer from performance degradation and computational waste. This paper proposes sequential testing methods for MTD in the multiple model framework. The celebrated CUSUM and SSPRT are adopted to detect maneuver termination, and the likelihood functions involved in these two tests are approximated by the outputs of the interacting multiple model (IMM) estimator, which is one of the most widely used algorithms for maneuvering target tracking. An Illustrative example is provided and the simulation results demonstrate the applicability of our algorithms.
  • Keywords
    maximum likelihood sequence estimation; object detection; target tracking; CUSUM; SSPRT; computational waste; decision based maneuvering target tracking; interacting multiple model estimator; likelihood functions; sequential testing methods; target maneuver onset detection; target maneuver termination sequential multiple-model detection; Computational modeling; Estimation; Mathematical model; Noise measurement; Numerical models; Target tracking; Testing; maneuver termination detection; multiple models; sequential hypothesis testing; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977449