• DocumentCode
    3542151
  • Title

    Bayesian estimators by particle filtering

  • Author

    Ribeiro, Rafael Oliveira ; Mussi, Alex Miyamoto ; Abrão, Taufik

  • Author_Institution
    Lab. of Commun. & Signal Process., State Univ. of Londrina, Londrina, Brazil
  • fYear
    2011
  • fDate
    Oct. 29 2011-Nov. 1 2011
  • Firstpage
    601
  • Lastpage
    605
  • Abstract
    This paper analyzes the main resampling methods associated to the Bayesian estimation technique namely Particle Filter (PF), trying to confirm by computational simulation the viability and efficiency of PF deployment on the radio mobile channel coefficient estimation. Also, this work establishes which of those resampling methods are more promising in terms of performance versus complexity trade-off.
  • Keywords
    Bayes methods; mobile radio; particle filtering (numerical methods); wireless channels; Bayesian estimation technique; PF deployment; particle filtering; radio mobile channel coefficient estimation; Bayesian methods; Channel estimation; Complexity theory; Estimation; Monte Carlo methods; Particle filters; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave & Optoelectronics Conference (IMOC), 2011 SBMO/IEEE MTT-S International
  • Conference_Location
    Natal
  • ISSN
    Pending
  • Print_ISBN
    978-1-4577-1662-1
  • Type

    conf

  • DOI
    10.1109/IMOC.2011.6169393
  • Filename
    6169393