Multiple Maneuvering Target Tracking by Improved Particle Filter Based on Multiscan JPDA
Joint Authors
Han, ChongZhao
Hu, Yu
Lian, Feng
Liu, Jing
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-24
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
The multiple maneuvering target tracking algorithm based on a particle filter is addressed.
The equivalent-noise approach is adopted, which uses a simple dynamic model consisting of target state and equivalent noise which accounts for the combined effects of the process noise and maneuvers.
The equivalent-noise approach converts the problem of maneuvering target tracking to that of state estimation in the presence of nonstationary process noise with unknown statistics.
A novel method for identifying the nonstationary process noise is proposed in the particle filter framework.
Furthermore, a particle filter based multiscan Joint Probability Data Association (JPDA) filter is proposed to deal with the data association problem in a multiple maneuvering target tracking.
In the proposed multiscan JPDA algorithm, the distributions of interest are the marginal filtering distributions for each of the targets, and these distributions are approximated with particles.
The multiscan JPDA algorithm examines the joint association events in a multiscan sliding window and calculates the marginal posterior probability based on the multiscan joint association events.
The proposed algorithm is illustrated via an example involving the tracking of two highly maneuvering, at times closely spaced and crossed, targets, based on resolved measurements.
American Psychological Association (APA)
Liu, Jing& Han, ChongZhao& Lian, Feng& Hu, Yu. 2012. Multiple Maneuvering Target Tracking by Improved Particle Filter Based on Multiscan JPDA. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-25.
https://search.emarefa.net/detail/BIM-1029559
Modern Language Association (MLA)
Liu, Jing…[et al.]. Multiple Maneuvering Target Tracking by Improved Particle Filter Based on Multiscan JPDA. Mathematical Problems in Engineering No. 2012 (2012), pp.1-25.
https://search.emarefa.net/detail/BIM-1029559
American Medical Association (AMA)
Liu, Jing& Han, ChongZhao& Lian, Feng& Hu, Yu. Multiple Maneuvering Target Tracking by Improved Particle Filter Based on Multiscan JPDA. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-25.
https://search.emarefa.net/detail/BIM-1029559
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029559