Multitarget Tracking by Improved Particle Filter Based on H∞ Unscented Transform
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper considers the problem of multitarget tracking in cluttered environment.
To reduce the dependency on the noise priori knowledge, an improved particle filtering (PF) data association approach is presented based on the H∞ filter (HF).
This approach can achieve higher robustness in the condition that the measurement noise prior is unknown.
Because of the limitations of the HF in nonlinear tracking, we first present the H∞ unscented filter (HUF) by embedding the unscented transform (UT) into the H∞ extended filter (HEF) structure.
Then the HUF is incorporated into the Rao-Blackwellized particle filter (RBPF) framework to update the particles.
Simulation results are provided to demonstrate the effectiveness of the proposed algorithms in linear and nonlinear multitarget tracking.
American Psychological Association (APA)
Wang, Yazhao. 2013. Multitarget Tracking by Improved Particle Filter Based on H∞ Unscented Transform. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1009531
Modern Language Association (MLA)
Wang, Yazhao. Multitarget Tracking by Improved Particle Filter Based on H∞ Unscented Transform. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1009531
American Medical Association (AMA)
Wang, Yazhao. Multitarget Tracking by Improved Particle Filter Based on H∞ Unscented Transform. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1009531
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009531