An Introduction to Kalman Filtering with MATLAB Examples

Language: English

Published by Springer, 2013

3031014081 / 9783031014086

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Druck auf Anfrage Neuware - Printed after ordering - The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications, e.g., target tracking, guidance and navigation, and communications systems. The purpose of this book is to present a brief introduction to Kalman filtering. The theoretical framework of the Kalman filter is first presented, followed by examples showing its use in practical applications. Extensions of the method to nonlinear problems and distributed applications are discussed. A software implementation of the algorithm in the MATLAB programming language is provided, as well as MATLAB code for several example applications discussed in the manuscript.

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Title
An Introduction to Kalman Filtering with MATLAB Examples
Author
Narayan Kovvali
Publisher
Springer
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031014081
ISBN 13
9783031014086
Item weight
176 grams
Dimensions
235x191x6 mm

AHA-BUCH GmbH

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