文件名称:Interacting-multiple-model-algorithm
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针对交互式多模型(IMM)算法的目标跟踪精度问题,提出了一种自适应模型集IMM算法.
利用IMM算法中的模型概率含义,并以此对模型集的收缩比例因子进行设计,这样模型集通过向
中心模型收敛可完成自适应调整,而自适应调整过程能有效、实时地利用观测信息.-Tracking accuracy, the goal of interacting multiple model (IMM) algorithm and an adaptive model set IMM algorithm.
IMM algorithm in the model the probability of the meaning and design, so that the model set by the scale factor of contraction of the model set
Center model convergence to be completed by the adaptive adjustment of the adaptive adjustment process can effectively real-time use of observational information.
利用IMM算法中的模型概率含义,并以此对模型集的收缩比例因子进行设计,这样模型集通过向
中心模型收敛可完成自适应调整,而自适应调整过程能有效、实时地利用观测信息.-Tracking accuracy, the goal of interacting multiple model (IMM) algorithm and an adaptive model set IMM algorithm.
IMM algorithm in the model the probability of the meaning and design, so that the model set by the scale factor of contraction of the model set
Center model convergence to be completed by the adaptive adjustment of the adaptive adjustment process can effectively real-time use of observational information.
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自适应模型集交互式多模型算法.pdf
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