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Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization
Joint Authors
Feng, Xiang
Tan, Min
Wei, Fang
Cao, Mao-Yong
Lin, Yan-yan
Wang, Shi-Ku
Xiao, Tong-Lu
Hou, Zeng-Guang
Zhao, Zeng-Shun
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate.
By doing so, RBPF could not only improve the estimation precision but also reduce the overall computational complexity.
However, the computational burden is still too high for many real-time applications.
To improve the efficiency of RBPF, the particle swarm optimization (PSO) is applied to drive all the particles to the regions where their likelihoods are high in the nonlinear area.
So only a small number of particles are needed to participate in the required computation.
The experimental results demonstrate that this novel algorithm is more efficient than the standard RBPF.
American Psychological Association (APA)
Zhao, Zeng-Shun& Feng, Xiang& Lin, Yan-yan& Wei, Fang& Wang, Shi-Ku& Xiao, Tong-Lu…[et al.]. 2013. Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-461663
Modern Language Association (MLA)
Zhao, Zeng-Shun…[et al.]. Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization. Journal of Applied Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-461663
American Medical Association (AMA)
Zhao, Zeng-Shun& Feng, Xiang& Lin, Yan-yan& Wei, Fang& Wang, Shi-Ku& Xiao, Tong-Lu…[et al.]. Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-461663
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461663