• DocumentCode
    3521510
  • Title

    The CRB for parameter estimation in irregularly sampled continuous-time ARMA systems

  • Author

    Larsson, Erik K. ; Larsson, Erik G.

  • Author_Institution
    Dept. of Syst. of Control, Uppsala Univ., Sweden
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    110
  • Lastpage
    113
  • Abstract
    We derive novel and compact formulas for the Cramer-Rao bound (CRB) associated with the identification of the parameters in a continuous-time autoregressive moving-average (ARMA) model, given the nonuniformity of the sampled data. Our approach is based on a state-space formulation of the ARMA model, which facilitates a derivation of the CRB in closed form. Numerical examples illustrate our results.
  • Keywords
    autoregressive moving average processes; continuous time systems; parameter estimation; signal processing; state-space methods; CRB; autoregressive moving-average model; irregularly sampled continuous-time ARMA systems; parameter estimation; signal processing; state-space formulation; Accuracy; Calculus; Computed tomography; Control systems; Parameter estimation; Sampling methods; Signal processing; Signal sampling; Statistics; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
  • Print_ISBN
    0-7803-8292-7
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2003.1341072
  • Filename
    1341072