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属性信息具有提高数据关联算法性能的巨大潜力,是多无源传感器信息数据关联研究的趋势之一。对属性信息在多无源传感器数据关联问题中的应用进行了综述,分析了基于属性信息的数据关联问题的研究进展,抽象出属性信息应用的问题模型,给出了基于统计、不确定推理的属性信息关联规则,总结了属性信息应用于多无源传感器数据关联的处理结构模型,并比较了各处理结构的优缺点,最后指出了未来属性信息辅助数据关联要解决的关键问题。
Attribute information has great potential to improve the performance of data association algorithms and is one of the trends in the research of association of multi-sensor data. This paper summarizes the application of attribute information in multi-sensor data association problem, analyzes the research progress of data association problem based on attribute information, abstract the problem model of attribute information application, and gives the model based on statistics and uncertain reasoning Attribute information association rules are summarized, and the attribute information is summarized in the processing structure model of multi-sensor data correlation. The advantages and disadvantages of each processing structure are compared. Finally, the key problems to be solved in the future are discussed.