Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (1): 217-219.DOI: 10.3778/j.issn.1002-8331.2011.01.062

• 工程与应用 • Previous Articles     Next Articles

Research on maneuvering target tracking algorithm under high turn frequency circumstances

ZHANG Jie,ZHANG Jianwei   

  1. College of Computer Science,Sichuan University,Chengdu 610064,China
  • Received:2009-09-30 Revised:2009-11-24 Online:2011-01-01 Published:2011-01-01
  • Contact: ZHANG Jie


张 杰,张建伟   

  1. 四川大学 计算机学院,成都 610064
  • 通讯作者: 张 杰

Abstract: The algorithm of UKF_IMM has better tracking performance for arbitrary nonlinear systems under the Gaussian conditions.But serious errors can arise when it is used in nonlinear nongaussian systems.PF_IMM is effective in nonlinearity and nongaussianity,however,it has a large computation.In existing literature on combining IMM and PF or UKF techniques to tackle difficult target maneuvers,a PF or UKF is usually used in every model.In comparison,IUS_IMM which uses a PF in the 2DTR model and UKF in the remaining models is put forward.Simulation results show that IUS_IMM has superior performance than UKF_IMM when maneuvering target is under high turn frequency circumstances.

摘要: UKF_IMM算法对任何非线性高斯系统都有较好的跟踪性能,但在用于强非线性、非高斯系统时将产生极大的误差。PF_IMM算法适用于任何非线性非高斯系统,但它因计算量很大而导致实时性太差。在现有的基于PF或UKF的IMM滤波算法中,PF或UKF通常被用于每一个模型,基于此,提出了IUS_IMM算法,即在转弯模型中使用标准粒子滤波器(SPF),在其他模型中用UKF滤波器,仿真结果表明,对于转弯频率高的机动目标,IUS_IMM的性能要好于UKF_IMM算法。

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