Improved Nonlinear Filtering For Target Tracking: Particle Filtering: Basics, Concepts and Improvements - Couverture souple

Zhai, Yan

 
9783639070101: Improved Nonlinear Filtering For Target Tracking: Particle Filtering: Basics, Concepts and Improvements
Couverture souple
ISBN 10 : 3639070100 ISBN 13 : 9783639070101
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

Particle filtering is a new nonlinear state estimation technique that aims to directly approximate the posterior distribution of the system. This technique was introduced to the engineering community in the early years of 2000. Since then it has drawn significant attentions due to its accuracy, robustness and flexibility in various nonlinear/non-Gaussian estimation applications, such as target tracking, robot localization and mapping, communications, sensor networks, computer vision and others. Latest research has shown that particle filter based algorithms can greatly improve the estimations over conventional methods, such as extended Kalman filter (EKF). This book introduces the basic concept of particle filtering, its advantages and limitations as well as various methods to improve particle filters. The analysis provided by this book should shed some light on how to design advanced particle filter tracking algorithms.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Particle filtering is a new nonlinear state estimation technique that aims to directly approximate the posterior distribution of the system. This technique was introduced to the engineering community in the early years of 2000. Since then it has drawn significant attentions due to its accuracy, robustness and flexibility in various nonlinear/non-Gaussian estimation applications, such as target tracking, robot localization and mapping, communications, sensor networks, computer vision and others. Latest research has shown that particle filter based algorithms can greatly improve the estimations over conventional methods, such as extended Kalman filter (EKF). This book introduces the basic concept of particle filtering, its advantages and limitations as well as various methods to improve particle filters. The analysis provided by this book should shed some light on how to design advanced particle filter tracking algorithms.

Biographie de l'auteur

Dr. Yan Zhai: Ph.D in ECE from the Univ. of Oklahoma in 2007. His research area is signal processing. He is now with Schlumberger, TX. Dr. Mark Yeary: Ph.D.E.E from Texas A&M University in 1999. Currently, he is a tenured Associate Professor in the Univ. of Oklahoma. His research interest is signal processing in weather radar applications.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2008
Langue
anglais
ISBN 10 
3639070100
ISBN 13 
9783639070101
Reliure
Broché
Nombre de pages
200
Coordonnées du fabricant
non disponible
Personne responsable
non disponible