• DocumentCode
    685006
  • Title

    Information fusion identification method for ARMA signal with colored measurement noise

  • Author

    Mingbo Zhang

  • Author_Institution
    Dept. of Electr. Eng., Heilongjiang Univ., Harbin, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    For the multi-sensor single-channel autoregressive moving average(ARMA) signals with colored measurement noises, common disturbance noise, and with unknown model parameters and noise variances, a multi-stage identification method is presented. Particularly, the multi-sensor system identification problem in noisy environment has important theoretical and application significance.
  • Keywords
    autoregressive moving average processes; sensor fusion; ARMA signal; colored measurement noise; common disturbance noise; information fusion identification method; multisensor single-channel autoregressive moving average signals; multisensor system identification problem; multistage identification method; noise variances; unknown model parameters; Adaptation models; Autoregressive processes; Cost accounting; Equations; Mathematical model; Noise; Noise measurement; information fusion parameter estimation; multi-stage identification method; noise variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6757988
  • Filename
    6757988