• DocumentCode
    2652037
  • Title

    General decentralized Kalman filters

  • Author

    Berg, Timothy M. ; Durrant-Whyte, Hugh F.

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ., UK
  • Volume
    2
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    2273
  • Abstract
    This paper considers a general decentralised Kalman filter, unique because it: requires no fusion center yet allows the different estimators to employ distributed models; minimizes communication with respect to message size and topology; requires no explicit knowledge of the transformations between the estimators; and reduces to previous results when appropriately constrained.
  • Keywords
    Kalman filters; network topology; prediction theory; state estimation; communication minimisation; distributed models; estimators; general decentralised Kalman filter; message size; topology; Computer architecture; Equations; Integrated circuit modeling; Neck; Noise measurement; Process design; Robustness; State estimation; State-space methods; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.752482
  • Filename
    752482
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2652037