Tracking filter engineering : the Gauss-Newton and polynomial filters / Norman Morrison.

Format:

Book

Author/Creator:

Morrison, Norman.

Contributor:

Institution of Engineering and Technology.

Series:

IET radar, sonar, navigation and avionics series ; 23.

IET radar, sonar and navigation series ; 23

Language:

English

Subjects (All):

Tracking radar.

Digital filters (Mathematics).

Physical Description:

1 online resource (577 p.)

Place of Publication:

London : Institution of Engineering and Technology, c2013.

Language Note:

English

Summary:

Identifying an alternative approach to filter engineering and the traditional Kalman filters, this new book highlights the important advantages of the Gauss-Newton filters.

Contents:

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

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

1-62198-570-9

1-84919-555-2

1-299-10449-5

OCLC:

854970293