Kalman filtering : theory and practice using MATLAB 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 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