《Table 2 Filtering results classification》

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《基于模糊自适应联合卡尔曼滤波算法的列车测速测距信息融合（英文）》

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3) In order to obtain the filter confidence at each sampling point，the specific parameters of the filtering level should be specified.The confidence intervals of the filter results and the corresponding parameter vectors are determined based on the experience and simulation results，which are shown in Table 2.The grade parameter column vector is Z=[0.95，0.8，0.5，0.05]T.The evaluation result Ai is taken as the weight vector，then the filtering confidence of the sub-filter is di=AiZ.