Bayesian Multiple Target Tracking

Bayesian Multiple Target Tracking

eBook - 2014
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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. --
Publisher: Boston, [Massachusetts] ;, London, [England] :, Artech House,, 2014
Edition: Second edition
Copyright Date: Ă2014
ISBN: 9781608075546
1608075540
1608075532
9781608075539
Characteristics: 1 online resource (315 pages) : illustrations
Additional Contributors: Stone, Lawrence D. 1942-- Author

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