Using nonlinear Kalman filtering to estimate signals
Document Type
Article
Publication Date
7-2006
Publication Title
Embedded Systems Design
Abstract
The Kalman filter is a tool that estimates the variables of a wide range of processes. In mathematical terms we'd say that a Kalman filter estimates the states of a linear system.
Repository Citation
Simon, Daniel J., "Using nonlinear Kalman filtering to estimate signals" (2006). Electrical and Computer Engineering Faculty Publications. 7.
https://engagedscholarship.csuohio.edu/enece_facpub/7
Original Citation
D. Simon, (20060. Using nonlinear Kalman filtering to estimation signals. Embedded Systems Design 19, 7, 38-53.
DOI
10.1115/1.1789153
Publisher's Statement
@2006 TechInsights, Inc.
Volume
19
Issue
7
