Beyond the Kalman Filter: Particle Filters Fro Tracking Applications

RistIc, Branko, Sanjeev Arulampalam and Neil Gordon

ISBN 10: 158053631X / ISBN 13: 9781580536318

Edité par Artech House, 2004

A propos de cet article

Hardcover, reference copy with owner name, slight edge wear and soiling, slight spine lean.

N° de réf. du vendeur 031316

Détails bibliographiques

• Titre: Beyond the Kalman Filter: Particle Filters Fro Tracking Applications
• Éditeur: Artech House
• Date de parution: 2004
• Langue: anglais
• ISBN à 10 chiffres: 158053631X
• ISBN à 13 chiffres: 9781580536318
• Reliure: Couverture rigide
• Édition: First Edition.

A propos de ce titre

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.