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  • 标题:A New Hybrid Grid Multiple Model Estimation Based on STF
  • 本地全文:下载
  • 作者:Liu, Yang ; Zhao, Ma ; Wu, Qinzhang
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2012
  • 卷号:7
  • 期号:7
  • 页码:1607-1614
  • DOI:10.4304/jcp.7.7.1607-1614
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要: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.
  • 关键词:maneuver target tracking;multiple model estimation;strong tracking filter;VSMM
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