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中文摘要：
提出一种基于图模型的结合目标分类信息数据关联算法，目的在于提高多传感器网络的数据关联正确率。通过分析基于图模型的目标分类信息，适当修改顶点兼容函数和连线兼容函数的计算公式，并用结合分类信息的似然函数更改原来只利用运动学信息的兼容函数，最终将分类信息应用到关联算法中。通过对仿真结果的比较，验证了利用分类信息可以较好地改善多目标关联性能。
英文摘要：
A data associaed algorithm based on graphic model which combined with target category message is proposed. The goal is to enhance data association accuracy of the multi-sensor networks. Through the analysis of target category information based on graphic model, the apex compatible function and the wired compatible function formula are suitably revised, and combining with category message＇ s likelihood function to change compatible function which originally use kinematics infoimation. The category message is applied to connected algorithm. Through comparison of simulation result, it is confirmed that category message can be used to improve the connected performance of multi-objective.
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