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传感器组网推动了信息领域的发展,多目标跟踪就是传感器组网系统中的关键技术。在传感器组网系统中,多目标根据主要是根据信息融合理论,通过多个不同节点的不同层次、精度、粒度及各种数据,从而获得具有完整决策及精准估计的目标,在多目标跟踪研究中,数据关联是一个重点及难点内容。本文通过模糊信息处理作为基础,将分布式融合模型作为框架,对传感网系统中的多目标跟踪的方法进行了介绍。多目标追踪主要是根据传感网系统实现跟踪处理流程的创建,从而能够满足信息融合的实际需求。
Sensor networking has promoted the development of the information field. Multi-target tracking is the key technology in the sensor networking system. In the sensor networking system, multi-objective is based on the theory of information fusion, through the different levels of different nodes, accuracy, granularity and a variety of data, so as to obtain a complete decision and accurate estimation of the target, in the multi-target tracking research In the data association is a key and difficult content. Based on fuzzy information processing, this dissertation introduces distributed fusion model as a framework to track multi-target in the sensor network. Multi-target tracking is mainly based on the sensor network system to create a tracking process, which can meet the actual needs of information fusion.