Skip to main content alibris logo

Beyond the Kalman Filter: Particle Filters for Tracking Applications

by

Write The First Customer Review
Beyond the Kalman Filter: Particle Filters for Tracking Applications - Ristic, Branko
Filter Results
Item Condition
Seller Rating
Other Options
Change Currency

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 ...

loading
Beyond the Kalman Filter: Particle Filters for Tracking Applications 2004, Artech House Publishers, Boston, MA

ISBN-13: 9781580536318

Hardcover