一种多传感器数据的熵权融合方法

Method of entropy fusion for multi-sensors data

针对多只传感器对多个特性指标进行测量实验的数据融合问题,提出了一种新的多传感器数据的融合算法。该方法采用最大最小法确定各传感器测量数据之间的模糊相似矩阵,定义熵权来确定各传感器的融合权重。可以克服以往方法中关系矩阵的主观影响。实验数据分析表明:该算法简单、数据融合含义清晰,可以避免有效数据的损失。

Due to data fusion of multi-sensor experiment on some characteristic indexes,a new fusion arithmetic for multi-sensor data is brought forward. The arithmetic defines the fuzzy similar matrix for the measurement of multi-sensor by the maximum and minimum method and determines the weight of entropy to value the weight of each sensor fusion. It may overcome the influence of subjective factor for the relationship matrix. The analysis for the experiment data shows that the method is simple, the connotation of data fusion is very clear and can avoid the loss of the effective data.