Beyond the Kalman Filter: Particle Filters for Tracking Applications

Branko Ristic (Author)
Available

Description

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.

Product Details

Price
$159.00
Publisher
Artech House Publishers
Publish Date
January 31, 2004
Pages
299
Dimensions
6.36 X 0.9 X 9.26 inches | 1.2 pounds
Language
English
Type
Hardcover
EAN/UPC
9781580536318
BISAC Categories:

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