• DocumentCode
    818672
  • Title

    An adaptive state estimation solution to the maneuvering target problem

  • Author

    Moose, Richard L.

  • Author_Institution
    Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
  • Volume
    20
  • Issue
    3
  • fYear
    1975
  • fDate
    6/1/1975 12:00:00 AM
  • Firstpage
    359
  • Lastpage
    362
  • Abstract
    A new approach to tracking a maneuvering target is presented. Modeling the randomly varying target as a semi-Markov process and then incorporating the statistics into the design of an adaptive state estimator produced an estimation scheme that greatly reduced the large bias errors that usually appear when a target makes an unexpected, large-scale maneuver.
  • Keywords
    Adaptive estimation; Linear systems, stochastic discrete-time; State estimation; Tracking; Adaptive filters; Equations; Error analysis; Gaussian noise; Large-scale systems; Mathematical analysis; Random variables; State estimation; Target tracking; Underwater vehicles;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1975.1100961
  • Filename
    1100961