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
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