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

Zhai, Yan

 
9783639070101: Improved Nonlinear Filtering For Target Tracking: Particle Filtering: Basics, Concepts and Improvements
Softcover
ISBN 10: 3639070100 ISBN 13: 9783639070101
Publisher: 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.

"synopsis" may belong to another edition of this title.

About the Author

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.

"About this title" may belong to another edition of this title.

Publisher
VDM Verlag Dr. Müller
Publication date
2008
Language
English
ISBN 10 
3639070100
ISBN 13 
9783639070101
Binding
Paperback
Number of pages
200