模糊数学和自适应加权平均在多传感器数据融合中的比较研究

Comparative Study of Fuzzy Math and Adaptive Weighted Average in the Multi-sensor Data Fusion

进行了多传感器测量值无效数据剔除,介绍了基于模糊贴近度理论和基于自适应加权平均理论在多传感器数据融合中的应用,并以4种无线压力传感器检测复进机初压值为算例。结果表明,采用模糊贴近度融合相对采用自适应加权平均融合获得的融合值更接近真实值。

Paper excluded the invalid data value of the multi-sensor measurement value.Paper introduces the application of the fuzzy nearness theory and adaptive weighted average theory in multi-sensor data fusion.Four wireless pressure sensor is used for detecting recoil initial pressure value.The test results show that the fusion value got by using the fuzzy nearness is closer to thetrue value than the fusion value got by using adaptive weighted average.