• DocumentCode
    1597252
  • Title

    Trellis based filtering

  • Author

    Kee, R.J. ; Irwin, G.W.

  • Author_Institution
    Short Brothers Plc, Belfast, UK
  • fYear
    1992
  • Firstpage
    1061
  • Abstract
    The work of K. Demirbas (1982, 1986, 1987, 1989) on using trellis diagrams for state estimation is extended. Techniques for improving the accuracy of the approach are considered, and a lack of robustness discovered in the original algorithm is highlighted. This is overcome by using the measurement equation to propagate the trellis, and the resulting filter is shown to be superior to the extended Kalman filter for some nonlinear examples
  • Keywords
    filtering and prediction theory; state estimation; measurement equation; robustness; state estimation; trellis diagrams; trellis propagation; trellis-based filtering; Decoding; Equations; Error probability; Filtering; Filters; Nonlinear systems; Quantization; Robustness; State estimation; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1992., First IEEE Conference on
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-0047-5
  • Type

    conf

  • DOI
    10.1109/CCA.1992.269725
  • Filename
    269725
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1597252