Beyond the Kalman Filter: Particle Filters for Tracking Applications - Couverture rigide

Ristic, Branko; Arulampalam, Sanjeev; Gordon, Neil

Couverture rigide

ISBN 10 : 158053631X ISBN 13 : 9781580536318

Editeur : Artech House Publishers, 2004

Synopsis

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.

Détails de l'édition

• Éditeur: Artech House Publishers
• Date d'édition: 2004
• Langue: anglais
• ISBN 10: 158053631X
• ISBN 13: 9781580536318
• Reliure: Relié
• Nombre de pages: 318
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible