• DocumentCode
    108994
  • Title

    Gaussian-Sum Cubature Kalman Filter with Improved Robustness for Bearings-only Tracking

  • Author

    Leong, Pei H. ; Arulampalam, Sanjeev ; Lamahewa, Tharaka A. ; Abhayapala, Thushara D.

  • Author_Institution
    Appl. Signal Process. Group, Australian Nat. Univ. (ANU), Canberra, ACT, Australia
  • Volume
    21
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    513
  • Lastpage
    517
  • Abstract
    This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in , which demonstrated excellent accuracy and efficiency for the bearings-only tracking problem. Modifications are made in the splitting and merging procedure of the Gaussian components in the algorithm. Simulation results confirm the improved robustness of the modified algorithm against the choice of threshold level for the splitting procedure.
  • Keywords
    Gaussian processes; Kalman filters; target tracking; Gaussian-sum cubature Kalman filter; bearings-only tracking problem; merging procedure; robustness improvement; splitting procedure; threshold level; Accuracy; Covariance matrices; Kalman filters; Merging; Robustness; Signal processing algorithms; Vectors; Bearings-only tracking; Gaussian-sum; cubature Kalman filter;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2307075
  • Filename
    6746072
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=108994