Bayesian multiple target tracking
This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking, multiple target tracking, and likelihood ratio detection and tracking. In addition to providing a detailed description of a basic particle filter that imp...
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Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Boston [Massachusetts] ; London [England] :
Artech House,
2014.
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Edition: | Second edition. |
Series: | Artech House radar library.
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Subjects: | |
ISBN: | 9781608075546 1608075540 9781608075539 1608075532 9781523117017 152311701X |
Physical Description: | 1 online resource (315 pages) : illustrations. |
Summary: | This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking, multiple target tracking, and likelihood ratio detection and tracking. In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters. With these examples illustrating the developed concepts, algorithms, and approaches -- the book helps radar engineers develop tracking solutions when observations are non-linear functions of target state, when the target state distributions or measurement error distributions are not Gaussian, in low data rate and low signal to noise ratio situations, and when notions of contact and association are merged or unresolved among more than one target. -- |
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Bibliography: | Includes bibliographical references at the end of each chapters and index. |
ISBN: | 9781608075546 1608075540 9781608075539 1608075532 9781523117017 152311701X |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |