• DocumentCode
    952469
  • Title

    Some quick and efficient methods for bearing-only target motion analysis

  • Author

    Pham, Dinh Tuan

  • Author_Institution
    Lab. of Modelling & Comput., CNRS, Grenoble, France
  • Volume
    41
  • Issue
    9
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    2737
  • Lastpage
    2751
  • Abstract
    Batch processing estimation methods for a target´s trajectory, assumed to be linear and uniform, based only on the observation of its bearings, are presented. First, the observer is assumed to have constant velocity, so that one can only estimate the target´s motion, up to a multiplicative constant. This motion is parameterized by three bearings at three judiciously chosen times, and some simple, quick, yet highly efficient estimators for them are proposed. The case of an observer moving nonuniformly is then considered. A quadratic estimator that is similar to the pseudolinear estimator but does not have bias is introduced. For the case in which the observer´s motion can be decomposed into a finite number of constant velocity segments, two sets of quasi-sufficient statistics that permit considerable saving in computation with no significant loss of efficiency are also introduced. Expressions for the covariance matrix of the estimators and for their Cramer-Rao bounds are provided
  • Keywords
    iterative methods; parameter estimation; signal processing; state estimation; Cramer-Rao bounds; batch processing estimation methods; bearing-only target motion analysis; constant velocity segments; covariance matrix; multiplicative constant; position estimation; pseudolinear estimator; quadratic estimator; quasi-sufficient statistics; trajectory estimation; velocity estimation; Chromium; Covariance matrix; Iterative methods; Kalman filters; Motion analysis; Motion estimation; State estimation; Statistics; Trajectory; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.236499
  • Filename
    236499