Kalman Filtering: Theory and Practice 论文
1993引用 1230
Sensor Technology and Measurement SystemsTarget Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation
摘要
1. General Information. 2. Linear Dynamic Systems. 3. Random Processes and Stochastic Systems. 4. Linear Optimal Filters and Predictors. 5. Nonlinear Applications. 6. Implementation Methods. 7. Practical Considerations. Appendix A: Software. Appendix B: A Matrix Refresher.