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Tracking filter engineering : the Gauss-Newton and polynomial filters

Author: Norman Morrison; Institution of Engineering and Technology.
Publisher: London : Institution of Engineering and Technology, ©2013.
Series: IET radar, sonar, navigation and avionics series, 23.
Edition/Format:   eBook : Document : Fiction : EnglishView all editions and formats
Summary:

This book provides a complete discussion of the Gauss-Newton filters, including all necessary theoretical background. This book also covers the expanding and fading memory polynomial filters based on  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Morrison, Norman.
Tracking filter engineering.
London : Institution of Engineering and Technology, 2013
(OCoLC)827268918
Material Type: Document, Fiction, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Norman Morrison; Institution of Engineering and Technology.
ISBN: 9781849195553 1849195552 9781621985709 1621985709
OCLC Number: 826893991
Description: 1 online resource (516 pages).
Contents: Part 1: BackgroundChapter 1: Readme_FirstChapter 2: Models, differential equations and transition matricesChapter 3: Observation schemesChapter 4: Random vectors and covariance matrices - theoryChapter 5: Random vectors and covariance matrices in filter engineeringChapter 6: Bias errorsChapter 7: Three tests for ECM consistencyPart 2: Non-recursive filteringChapter 8: Minimum variance and the Gauss-Aitken filtersChapter 9: Minimum variance and the Gauss-Newton filtersChapter 10: The master control algorithms and goodness-of-fitPart 3: Recursive FilteringChapter 11: The Kalman and Swerling filtersChapter 12: Polynomial filtering - 1Chapter 13: Polynomial filtering - 2
Series Title: IET radar, sonar, navigation and avionics series, 23.
Responsibility: Norman Morrison.

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