• DocumentCode
    154338
  • Title

    Identification of fractional order noises

  • Author

    Sierociuk, Dominik ; Ziubinski, Pawel

  • Author_Institution
    Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    240
  • Lastpage
    245
  • Abstract
    The paper presents method for parametric identification of a fractional order noise. The fractional order colored noise is a generalization of the traditional colored noise (noise with dynamic dependency) in the case when the dynamics of noise is a fractional order dynamics. Proposed identification algorithms are designed for two cases: when order of noise is known and when order of the noise have to be determined. Algorithm for determining the fractional order based on information about noise self correlation. Finally, results of numerical experiments are presented for presenting efficiency of proposed methods.
  • Keywords
    noise; signal processing; fractional order colored noise parametric identification; fractional order dynamics; noise dynamics; noise self-correlation; 1f noise; Correlation; Equations; Estimation; Kalman filters; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4799-5082-9
  • Type

    conf

  • DOI
    10.1109/MMAR.2014.6957358
  • Filename
    6957358