多传感器数据的概率最大融合方法

Method of maximum probability for multi-sensors data fusion

在多传感器信息融合过程中,有时要利用多传感器对某一对象进行不同方面观测,而数据融合的目的是要对研究对象进行类型识别,通过对数据获取过程的统计分析,给出总概率最大的数据融合方法。该方法可以避免丢失重要的极端数据,使结论更符合实际。

During information fusion of sensors,sometimes object should be observed from different aspects,the goal of data fusion is discriminating the belonging type of the research object.Based on the statistical analysis for the data acquisition process,a new method of maximum probability for multi-sensors data fusion is proposed.The method can avoid losing important extreme data,and make the conclusion more suitable for the practice.