• DocumentCode
    66266
  • Title

    A General Solution to Optimal Fixed-Gain ( \\alpha - \\beta -

  • Author

    Crouse, David Frederic

  • Author_Institution
    Radar Div., Naval Res. Lab., Washington, DC, USA
  • Volume
    22
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    901
  • Lastpage
    904
  • Abstract
    A considerable number of papers in the literature provide solutions for fixed-gain filters, such as the α- β filter, that minimize the mean squared error under various dynamic models. This note demonstrates that those specialized models are unnecessary as the tools to explicitly find optimal fixed gains for arbitrary observable systems are already in the literature. The results produced by this method agree with published results for specialized algorithms. The solution of this letter also obviates the need for special “aeolotropic” filter design. Code implementing the algorithm and simulations is available in Matlab on IEEEXplore.
  • Keywords
    filters; mean square error methods; α-β filter; IEEEXplore; Matlab; aeolotropic filter design; arbitrary observable systems; dynamic models; mean squared error; optimal fixed-gain filters; Kalman filters; Mathematical model; Noise measurement; Q measurement; Riccati equations; Signal processing algorithms; Filtering; linear systems; optimal control;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2376876
  • Filename
    6971161