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Tracking filter engineering : the Gauss-Newton and polynomial filters

Auteur : Norman Morrison; Institution of Engineering and Technology.
Éditeur : London : Institution of Engineering and Technology, ©2013.
Collection : IET radar, sonar, navigation and avionics series, 23.
Édition/format :   Livre électronique : Document : Fiction : EnglishVoir toutes les éditions et tous les formats
Base de données :WorldCat
Résumé :

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  Lire la suite...

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Genre/forme : Electronic books
Format – détails additionnels : Print version:
Morrison, Norman.
Tracking filter engineering.
London : Institution of Engineering and Technology, 2013
(OCoLC)827268918
Type d’ouvrage : Document, Fiction, Ressource Internet
Format : Internet Resource, Computer File
Tous les auteurs / collaborateurs : Norman Morrison; Institution of Engineering and Technology.
ISBN : 9781849195553 1849195552 9781621985709 1621985709
Numéro OCLC : 826893991
Description : 1 online resource (516 pages).
Contenu : * 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
Titre de collection : IET radar, sonar, navigation and avionics series, 23.
Responsabilité : Norman Morrison.
Plus d’informations :

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