• DocumentCode
    3123035
  • Title

    Filtering problem with nonlinear observations and drift terms equal to gradient vector field plus affine vector field

  • Author

    Yau, Stephen S T ; Jia, Lixing

  • Author_Institution
    IEEE Fellow, Department of Mathematics, Statistics and Computer Science (M/C 249), University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607-7045, U.S.A. yau@uic.edu
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    5865
  • Lastpage
    5870
  • Abstract
    For all known finite dimensional filters, one always needs the condition that the observation terms are degree one polynomial. On the other hand, in many practical examples, e.g. tracking problem, the observation terms may be nonlinear. In this paper, we solve filtering problems with nonlinear observation terms and drift term equal to gradient vector field plus affine vector field, which includes Kalman-Bucy filter, Benes filter and Yau filter as special cases.
  • Keywords
    Algebra; Computer science; Equations; Filtering; Mathematics; Maximum likelihood detection; Nonlinear filters; Polynomials; Statistics; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1583099
  • Filename
    1583099