• DocumentCode
    281551
  • Title

    A tutorial introduction to Kalman filtering

  • Author

    Hargrave, P.J.

  • Author_Institution
    STC Technol. Ltd., Harlow, UK
  • fYear
    1989
  • fDate
    32560
  • Firstpage
    42370
  • Lastpage
    42375
  • Abstract
    Presents an elementary introduction to Kalman Filtering starting from the simplest of all estimation problems, namely that of estimating a time independent scalar quantity from a number of noisy measurements. From this the author moves on to consider the case when the quantity to be estimated is a function of time, and then generalises the results to the estimation of a time dependent vector. Finally he indicates how the resulting Kalman Filter equations can be applied to an elementary but nevertheless real problem in navigation
  • Keywords
    Kalman filters; estimation theory; navigation; Kalman Filter equations; Kalman filtering; estimation problems; navigation; noisy measurements; time dependent vector; tutorial;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Kalman Filters: Introduction, Applications and Future Developments, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    197899