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
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;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583099