ADVANCED ALGORITHMS FOR MULTI-SENSOR MULTI-TARGET TRACKING : Estimation and Tracking for Stochastic Hybrid Systems

Sumedh Puranik

ISBN 10: 3843364710 / ISBN 13: 9783843364713

Edité par LAP LAMBERT Academic Publishing, 2010

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - Target tracking has tremendous applications in both military and civilian surveillance systems. Typical applications are satellite surveillance systems, air-traffic control, undersea surveillance, sophisticated weapon delivery systems, global positioning systems, etc. The rapid developments in hardware and software technology have increased the signal processing capabilities of these surveillance systems. Advances in sensing resources have made possible to collect the enormous and complex amount of observation data from the targets. This has generated a continuing need for further development in information processing capabilities of these systems. Besides that, target tracking is as such a very complex problem. Complexity of the overall tracking problem increases substantially with the presence of maneuvering target, multiple targets, multiple distributed sensors, and background noise or clutter. In this book we develop a set of new suboptimal filtering and smoothing algorithms for maneuvering target tracking application. The proposed algorithms provide better performance in terms of estimation accuracy over the existing algorithms.

N° de réf. du vendeur 9783843364713

Détails bibliographiques

• Titre: ADVANCED ALGORITHMS FOR MULTI-SENSOR MULTI-TARGET TRACKING : Estimation and Tracking for Stochastic Hybrid Systems
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 3843364710
• ISBN à 13 chiffres: 9783843364713
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

Target tracking has tremendous applications in both military and civilian surveillance systems. Typical applications are satellite surveillance systems, air-traffic control, undersea surveillance, sophisticated weapon delivery systems, global positioning systems, etc. The rapid developments in hardware and software technology have increased the signal processing capabilities of these surveillance systems. Advances in sensing resources have made possible to collect the enormous and complex amount of observation data from the targets. This has generated a continuing need for further development in information processing capabilities of these systems. Besides that, target tracking is as such a very complex problem. Complexity of the overall tracking problem increases substantially with the presence of maneuvering target, multiple targets, multiple distributed sensors, and background noise or clutter. In this book we develop a set of new suboptimal filtering and smoothing algorithms for maneuvering target tracking application. The proposed algorithms provide better performance in terms of estimation accuracy over the existing algorithms.