Using nonlinear Kalman filtering to estimate signals

Daniel J. Simon

doi:10.1115/1.1789153

Using nonlinear Kalman filtering to estimate signals

Daniel J. Simon

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Embedded Systems Design
Volume	19
DOIs	https://doi.org/10.1115/1.1789153
State	Published - Jul 1 2006

Disciplines

Electrical and Computer Engineering

Access to Document

10.1115/1.1789153License: CC BY

http://eetimes.com/design/embedded/4025693/Using-nonlinear-Kalman-filtering-to-estimate-signals

Cite this

@article{0ef25415cae8443695394f316117feb9,

title = "Using nonlinear Kalman filtering to estimate signals",

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.",

author = "Simon, \{Daniel J.\}",

note = "D. Simon, (20060. Using nonlinear Kalman filtering to estimation signals. Embedded Systems Design 19, 7, 38-53.",

year = "2006",

month = jul,

day = "1",

doi = "10.1115/1.1789153",

language = "American English",

volume = "19",

journal = "Embedded Systems Design",

}

TY - JOUR

T1 - Using nonlinear Kalman filtering to estimate signals

AU - Simon, Daniel J.

N1 - D. Simon, (20060. Using nonlinear Kalman filtering to estimation signals. Embedded Systems Design 19, 7, 38-53.

PY - 2006/7/1

Y1 - 2006/7/1

N2 - 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.

AB - 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.

UR - https://engagedscholarship.csuohio.edu/enece_facpub/7

UR - http://eetimes.com/design/embedded/4025693/Using-nonlinear-Kalman-filtering-to-estimate-signals

U2 - 10.1115/1.1789153

DO - 10.1115/1.1789153

M3 - Article

VL - 19

JO - Embedded Systems Design

JF - Embedded Systems Design

ER -

Using nonlinear Kalman filtering to estimate signals

Abstract

Disciplines

Access to Document

Other files and links

Cite this