• DocumentCode
    853898
  • Title

    A simple solution to the singular linear minimum-variance estimation problem

  • Author

    Shaked, U. ; Soroka, E.

  • Author_Institution
    Tel-Aviv University, Tel-Aviv, Israel
  • Volume
    32
  • Issue
    1
  • fYear
    1987
  • fDate
    1/1/1987 12:00:00 AM
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    A simple expression is obtained for the transfer function matrix of the minimum-variance estimator for the states of a linear stationary continuous-time right invertible system whose output is measured perfectly. Using the s -domain approach, it is shown that the optimal estimator first finds the driving noise input that achieves, when applied on the minimum-phase image model of the system, an output spectrum which is identical to the measurement spectrum. This input is then applied on a state-space representation of the minimum-phase image to produce the optimal estimate.
  • Keywords
    State estimation, linear systems; Transfer function matrices; Control theory; Data mining; Face recognition; Kalman filters; Noise measurement; State estimation; Time domain analysis; Transfer functions; White noise; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1987.1104436
  • Filename
    1104436