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. |