NSSC OpenIR  > 空间技术部
Improved resampling particle filter for maneuvering point target tracking
Zhou, R.; Liu, B.; Teng, Z.J.
Department空间技术部
Source PublicationJournal of Applied Sciences
2013
Volume13Issue:11Pages:2045-2050
ISSN1812-5654
Language英语
AbstractThe sample impoverishment during particles resampling is a challenging problem in using particle filter to track point target. The reason is that the impoverishment will lead to the divergence of particles and failure of tracking. To solve the problem, a new resampling algorithm is presented in this study. The idea is that random particle samples are drawn from the neighborhoods of previous samples with high weights according to Gaussian distribution instead of simple duplication. Therefore, during the resampling, the effect of sample impoverishment is reduced and diversity of particle samples is enriched because of the samples expansion while the low weights samples are discarded. To illustrate proposed method, the resampling algorithm with simple duplication and the resampling algorithm with random drawing samples based on Gaussian distribution are compared. Simulation results show that the tracking failure is reduced in the quantitative criteria-RMSE. © 2013 Asian Network for Scientific Information.
Indexed ByEI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/5071
Collection空间技术部
Corresponding AuthorZhou, R.
Recommended Citation
GB/T 7714
Zhou, R.,Liu, B.,Teng, Z.J.. Improved resampling particle filter for maneuvering point target tracking[J]. Journal of Applied Sciences,2013,13(11):2045-2050.
APA Zhou, R.,Liu, B.,&Teng, Z.J..(2013).Improved resampling particle filter for maneuvering point target tracking.Journal of Applied Sciences,13(11),2045-2050.
MLA Zhou, R.,et al."Improved resampling particle filter for maneuvering point target tracking".Journal of Applied Sciences 13.11(2013):2045-2050.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou, R.]'s Articles
[Liu, B.]'s Articles
[Teng, Z.J.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou, R.]'s Articles
[Liu, B.]'s Articles
[Teng, Z.J.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou, R.]'s Articles
[Liu, B.]'s Articles
[Teng, Z.J.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.