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Tracking filter engineering : the Gauss-Newton and polynomial filters /
Identifying an alternative approach to filter engineering and the traditional Kalman filters, this new book highlights the important advantages of the Gauss-Newton filters.
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
London :
Institution of Engineering and Technology,
©2013.
|
| Series: | IET radar, sonar, navigation and avionics series ;
23. |
| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- Preface; Acknowledgements; Why this book?; Organisation; Part 1. Background; 1. Readme_First; 2. Models, differential equations and transition matrices; 3. Observation schemes; 4. Random vectors and covariance matrices
- theory; 5. Random vectors and covariance matrices in filter engineering; 6. Bias errors; 7. Three tests for ECM consistency; Part 2. Non-recursive filtering; 8. Minimum variance and the Gauss-Aitken filters; 9. Minimum variance and the Gauss-Newton filters; 10. The master control algorithms and goodness-of-fit; Part 3. Recursive filtering.
- 11. The Kalman and Swerling filters12. Polynomial filtering
- 1; 13. Polynomial filtering
- 2; References; Index.