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中文摘要: 针对多个传感器对某一特性指标进行多次测量实验的数据融合问题，提出了一种基于信噪比的多传感器数据融合方法。该方法首先视各传感器的测量值为模糊集合，利用模糊集合中的最大最小贴近度来度量不同传感器测量值之间的相近程度，其次给出了不同时刻各传感器的一致性测度，然后基于信噪比定义了一致可靠性测度，最后利用一致可靠性测度得到传感器数据的融合公式。应用实例验证了该方法的有效性。同时，通过与平均值法和可靠性融合法的比较分析，表明该方法具有较好的稳健性。
Abstract:Due to data fusion of multi-sensors experiment of many times on some characteristic index, a new fusion method is proposed based on the ratio of signal to noise. The method views the measured data of every sensor as a fuzzy set and measures the approach degree by the maximum and minimum principle. Then the consistent measure of each sensor at any time is given. According to the ratio of signal to noise, the consistent reliability measure of each sensor is defined. Finally the formula of data fusion is obtained based on the consistent reliability measure. The applied example proves that the method is effective. The compared analysis with the average method and the reliable fusion method shows that the method has the strong ability of stableness.
文章编号：cg080137 中图分类号： 文献标志码：
基金项目:
万树平
江西财经大学信息管理学院
WAN Shu-ping
College of Information Technology, Jiangxi University of Finance and Economic
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