• DocumentCode
    1139309
  • Title

    Optimal Tracking of Maneuvering Targets

  • Author

    Thorp, James S.

  • Author_Institution
    Cornell University Ithaca, N.Y. 14850
  • Issue
    4
  • fYear
    1973
  • fDate
    7/1/1973 12:00:00 AM
  • Firstpage
    512
  • Lastpage
    519
  • Abstract
    Maneuvering target motion is modeled by introducing a binary random variable in the target state equation. The optimal estimate is shown to be a weighted combination of two Kalman filter estimates with weights depending on the likelihood ratio for the detection of a maneuver. A tracking scheme is proposed for maneuvering target tracking and illustrated in an example.
  • Keywords
    Covariance matrix; Filtering; Gaussian processes; Kalman filters; Nonlinear equations; Random variables; Recursive estimation; Sonar applications; Stochastic processes; Target tracking;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.1973.309633
  • Filename
    4103166
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1139309