• DocumentCode
    3624160
  • Title

    IPDA-PMM algorithm for tracking maneuvering targets in clutter

  • Author

    D. Musicki;R. Evans

  • Author_Institution
    DD Processing Pty. Ltd., Enfield, NSW, Australia
  • Volume
    4
  • fYear
    1994
  • Firstpage
    3308
  • Abstract
    Presents an algorithm called IPDA-PMM for tracking maneuvering targets in clutter. It combines the IPDA algorithm for data association with tracking filter, PMM (prediction oriented multiple model). The PMM tracking filter belongs to the family of two model a posteriori Bayesian sub-optimal estimation algorithms. All target trajectory models have a common measurement prediction probability density function.
  • Keywords
    "Target tracking","Predictive models","Acceleration","State estimation","Probability density function","Motion estimation","Covariance matrix","Filters","Coordinate measuring machines","Q measurement"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411657
  • Filename
    411657
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3624160