Kalman filtering : theory and practice using MATLAB / Mohinder S. Grewal, Angus P. Andrews.

By:

Grewal, Mohinder S [author.]

Contributor(s):

Material type: Text

TextPublisher: Hoboken, New Jersey : Wiley, c2008Distributor: [Piscataqay, New Jersey] : IEEE Xplore, 2008Edition: 3rd edDescription: 1 PDF (xvi, 575 pages) : illustrationsContent type:

text

Media type:

electronic

Carrier type:

online resource

ISBN:

9780470377819

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: No titleDDC classification:

629.8/312

Online resources:

Abstract with links to resource

Also available in print.

Contents:

1. General Information -- 2. Linear Dynamic Systems -- 3. Random Processes and Stochastic Systems -- 4. Linear Optimal Filters and Predictors -- 5. Optimal Smoothers -- 6. Implementation Methods -- 7. Nonlinear Filtering -- 8. Practical Considerations -- 9. Applications to Navigation -- Appendix A. MATLAB Software -- Appendix B. Matrix Refresher.

Summary: This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

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Includes bibliographical references (p. 549-564) and index.

Restricted to subscribers or individual electronic text purchasers.

This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.