Bayesian Multiple Target Tracking (Hardcover, 2nd Revised edition)

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 track when observations are nonlinear functions of target site, 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.

General

Imprint:	Artech House Publishers
Country of origin:	United States
Release date:	2014
First published:	March 2014
Authors:	Lawrence D. Stone • Roy L Streit • Thomas L. Corwin
Dimensions:	235 x 158 x 23mm (L x W x T)
Format:	Hardcover
Pages:	312
Edition:	2nd Revised edition
ISBN-13:	978-1-60807-553-9
Subtitles:	English
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > Radar Promotions
LSN:	1-60807-553-2
Barcode:	9781608075539

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