Using nonlinear Kalman filtering to estimate signals

Authors

Daniel J. Simon, Cleveland State UniversityFollow

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