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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
Database:WorldCat
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: Background * Chapter 1: Readme_First * Chapter 2: Models, differential equations and transition matrices * Chapter 3: Observation schemes * Chapter 4: Random vectors and covariance matrices - theory * Chapter 5: Random vectors and covariance matrices in filter engineering * Chapter 6: Bias errors * Chapter 7: Three tests for ECM consistency * Part 2: Non-recursive filtering * Chapter 8: Minimum variance and the Gauss-Aitken filters * Chapter 9: Minimum variance and the Gauss-Newton filters * Chapter 10: The master control algorithms and goodness-of-fit * Part 3: Recursive Filtering * Chapter 11: The Kalman and Swerling filters * Chapter 12: Polynomial filtering - 1 * Chapter 13: Polynomial filtering - 2
Series Title: IET radar, sonar, navigation and avionics series, 23.
Responsibility: Norman Morrison.
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