Beyond The Kalman Filter - Particle Filters For Tracking Applications (Hardcover)

For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To solve problems beyond this restricted class, particle filters are proving to be dependable methods for stochastic dynamic estimation. This cutting-edge book introduces the latest advances in particle filter theory, discusses their relevance to defence surveillance systems, and examines defence-related applications of particle filters to nonlinear and non-Gaussian problems. nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of manoeuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking.

General

Imprint:	Artech House Books
Country of origin:	United States
Release date:	2004
First published:	2004
Authors:	Branko Ristic • Sanjeev Arulampalam • Neil Gordon
Dimensions:	233 x 162 x 20mm (L x W x T)
Format:	Hardcover
Pages:	299
ISBN-13:	978-1-58053-631-8
Categories:	Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > Radar
LSN:	1-58053-631-X
Barcode:	9781580536318

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