• DocumentCode
    3593208
  • Title

    Direct Estimation of Noise Covariances

  • Author

    Sangsuk-Iam, Suwanchai ; Bullock, Thomas E.

  • Author_Institution
    Department of Electrical Engineering, University of Florida, Gainesville, FL 32611
  • fYear
    1988
  • Firstpage
    1289
  • Lastpage
    1294
  • Abstract
    A direct technique for estimating unknown covariances of the stationary noise processes disturbing a linear time-invariant system is discussed and analyzed in this paper. The technique which is referred to as the stationary preprocessed measurement correlation (SPMC) technique is direct in the sense that the unknown noise covariances can be estimated without requiring the estimate of the state and the stationarity of the measurements. Under certain conditions on the fourth moments of the noise processes, it is shown that the estimate of the noise covariances converges in quadratic mean to their actual value.
  • Keywords
    Convergence; Covariance matrix; Data mining; Independent component analysis; Noise measurement; Particle measurements; Polynomials; Q measurement; State estimation; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1988
  • Type

    conf

  • Filename
    4789919