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.

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Bibliographic Details
Main Author Morrison, Norman
Corporate Author Institution of Engineering and Technology
Format Electronic eBook
LanguageEnglish
Published London : Institution of Engineering and Technology, ©2013.
SeriesIET radar, sonar, navigation and avionics series ; 23.
Subjects
Digital filters (Mathematics)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781849195553
1849195552
9781621985709
1621985709
1299104495
9781299104495
1849195544
9781849195546
Physical Description1 online resource (516 pages)

Cover

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.

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