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A new hybrid grid multiple model estimation based on STF
Yang, Liu1,2; Zhao, Ma3; Qinzhang, Wu1; Yang, L. (liuyang_xueshu2009@163.com)
Source PublicationJournal of Computers
Volume7Issue:7Pages:1607-1614
2012
Language英语
ISSN1796203X
DOI10.4304/jcp.7.7.1607-1614
Indexed ByEi
Subtype期刊论文
AbstractThe paper presents a hybrid model grid variable structure multiple model algorithm basing on strong tracking filter (STF-VSMM) which is used to state estimation for complicated system. The total model set for STF-VSMM is the combination of a coarse model grid and an adaptive fine grid moving freely in the system mode space. During the produce of the fine model grid, the paper uses a strong tracking filter to get the center position. Then, STF-VSMM can form a two-double bestrow of the system mode space. At last, the paper realizes the accurate tracking of maneuvering target using STF-VSMM. Simulation results demonstrate that STF-VSMM estimator outperforms the corresponding fixed structure multiple model (FSMM) at a negligible extra computational cost. © 2012 ACADEMY PUBLISHER.; The paper presents a hybrid model grid variable structure multiple model algorithm basing on strong tracking filter (STF-VSMM) which is used to state estimation for complicated system. The total model set for STF-VSMM is the combination of a coarse model grid and an adaptive fine grid moving freely in the system mode space. During the produce of the fine model grid, the paper uses a strong tracking filter to get the center position. Then, STF-VSMM can form a two-double bestrow of the system mode space. At last, the paper realizes the accurate tracking of maneuvering target using STF-VSMM. Simulation results demonstrate that STF-VSMM estimator outperforms the corresponding fixed structure multiple model (FSMM) at a negligible extra computational cost. © 2012 ACADEMY PUBLISHER.
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Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/4403
Collection光电测控技术研究室(三室)
Corresponding AuthorYang, L. (liuyang_xueshu2009@163.com)
Affiliation1. The Institute of Optics and Electronics, The Chinese Academy of Science, Chengdu 610209, China
2. The Chinese Academy of Science, Beijing 100049, China
3. Henan provincial industrial information and standard research institute, Zhengzhou 475000, China
Recommended Citation
GB/T 7714
Yang, Liu,Zhao, Ma,Qinzhang, Wu,et al. A new hybrid grid multiple model estimation based on STF[J]. Journal of Computers,2012,7(7):1607-1614.
APA Yang, Liu,Zhao, Ma,Qinzhang, Wu,&Yang, L. .(2012).A new hybrid grid multiple model estimation based on STF.Journal of Computers,7(7),1607-1614.
MLA Yang, Liu,et al."A new hybrid grid multiple model estimation based on STF".Journal of Computers 7.7(2012):1607-1614.
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