在地 关 键 词 多传感器多目标跟踪; 非线性; S-D分配; 不敏卡尔曼滤波 [gap=1350]Key words multisensor multitarget tracking; nonlinearity; S-D assignment; UKF
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多传感器多目标跟踪融合中的目标航迹包含了模糊信息，这种模糊信息可以用模糊隶属度函数来描述。
The target track in the multisensor multitarget tracking fusion contains the fuzzy information which was described by the fuzzy membership function.
该算法降低了多传感器多目标跟踪的复杂性和计算量，有效地解决了异类多传感器可用公共信息少的问题。
The presented algorithm can reduce computing complexity and solve the common information-lacking problem of heterogeneous sensors efficiently.
其次，对于多传感器多目标跟踪问题，数据关联是其中一项重要问题，也是实现多传感器数据融合的前提。
Secondly, for multi-sensor multi-target tracking, data association is one of important problems, and is the precondition of data fusion.
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