Bayesian estimation and tracking : a practical guide /

A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses...

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Bibliographic Details
Main Author: Haug, Anton J., 1941-
Format: eBook
Language:English
Published: Hoboken : John Wiley & Sons, 2012.
Series:Wiley Online Library.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses the gap in the field on both accounts, providing readers with a comprehensive overview of methods for estimating both linear and nonlinear dynamic systems driven by Gaussian and non-Gaussian noices. Featuring a unified approach to Bayesian estimation and tracking, the book emphasizes the derivation of all tracking algorithms within a Bayesian framework and describes effective numerical methods for evaluating density-weighted integrals, including linear and nonlinear Kalman filters for Gaussian-weighted integrals and particle filters for non-Gaussian cases. The author first emphasizes detailed derivations from first principles of eeach estimation method and goes on to use illustrative and detailed step-by-step instructions for each method that makes coding of the tracking filter simple and easy to understand.
Item Description:Electronic resource.
Physical Description:1 online resource (xxvi, 369 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:1118287797 (electronic bk.)
1118287835 (electronic bk.)
9781118287798 (electronic bk.)
9781118287835 (electronic bk.)
DOI:10.1002/9781118287798