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

By: Grewal, Mohinder S [author.].
Contributor(s): Andrews, Angus P | John Wiley & Sons [publisher.] | IEEE Xplore (Online service) [distributor.].
Material type: materialTypeLabelBookPublisher: Hoboken, New Jersey : Wiley, c2008Distributor: [Piscataqay, New Jersey] : IEEE Xplore, 2008Edition: 3rd ed.Description: 1 PDF (xvi, 575 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780470377819.Subject(s): MATLAB | Kalman filtering | Aircraft navigation | Bibliographies | Biological system modeling | Books | Calculus | Computational modeling | Computers | Convergence | Covariance matrix | Data structures | Differential equations | Equations | Estimation | Estimation error | Global Navigation Satellite Systems | History | Indexes | Interpolation | Kalman filters | MATLAB | Manganese | Mathematical model | Matrices | Measurement uncertainty | Noise | Noise measurement | Planets | Probability distribution | Random processes | Riccati equations | Roundoff errors | Sensors | Smoothing methods | Sparse matrices | Stochastic processes | Stochastic systems | Symmetric matrices | Syntactics | Time measurement | Uncertainty | Vehicle dynamics | Vehicles | Velocity measurementGenre/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.

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.

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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.

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/21/2015.

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