ENGLISH

Tracking filter engineering : the Gauss-Newton and polynominal filters

By Morrison , Norman

Book information

Publisher
Institution of Engineering and Technology IET
Year
2013
ISBN
978-1-84919-554-6, 978-1-84919-555-3, 1849195544, 1849195552
Language
english
Format
PDF
Filesize
3 MB (3143015 bytes)
Series
IET radar sonar and navigation series 23
Pages
\598
Library
kolxo3
Time added
2019-04-27 05:04:36
FI

Description

Content: 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

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