• DocumentCode
    2221086
  • Title

    Impact of ballistic target model uncertainty on IMM-UKF and IMM-EKF tracking accuracies

  • Author

    Farina, A. ; Immediata, S. ; Timmoneri, L.

  • Author_Institution
    Selex Sist. Integrati, Rome, Italy
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Some aspects of tracking of ballistic targets (BT) are analysed in this paper. In particular, the uncertainty in the kinematic model of the ballistic target is introduced and the impact on the tracking accuracies and robustness is detailed. Two architectures have been selected for comparison purposes: (i) an Interacting Multiple Model (IMM) constituted by a number of Extended Kalman Filters (EKFs) matched to the BT dynamics, each filter having the capability of on-line estimation of the BT characteristics (for instance the ballistic coefficient) and (ii) an IMM constituted by a number of Unscented Kalman Filters (UKFs). The performance evaluations of the designed IMM tracking algorithms are obtained via Monte Carlo simulation.
  • Keywords
    Kalman filters; Monte Carlo methods; ballistics; target tracking; IMM-EKF; IMM-UKF; Monte Carlo simulation; ballistic target model uncertainty; extended Kalman filters; interacting multiple model; kinematic model; unscented Kalman filters; Estimation; Europe; Read only memory; Ballistic Target Model; Extended Kalman filter; Target tracking; Unscented Kalman filter; estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071452