• DocumentCode
    567619
  • Title

    S-estimators in mapping applications

  • Author

    Sequeira, João ; Tsourdos, Antonios ; Shin, Hyo-Sang

  • Author_Institution
    Inst. Super. Tecnico, Tech. Univ. of Lisbon, Lisbon, Portugal
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    2561
  • Lastpage
    2568
  • Abstract
    This paper discusses a class of S-estimators for covariance matrices applied to a mapping application. Two alternative solution methods are discussed, namely using an iterative formulation described in the literature, and an optimization formulation. Simulation results on a mapping example are presented to illustrate the discussion.
  • Keywords
    covariance matrices; estimation theory; iterative methods; optimisation; signal processing; S-estimators; covariance matrices; iterative formulation; mapping applications; optimization formulation; Educational institutions; Estimation; Optimization; Robustness; Sensors; Uncertainty; Vectors; Mapping; S-estimator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2012 15th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-0417-7
  • Electronic_ISBN
    978-0-9824438-4-2
  • Type

    conf

  • Filename
    6290465