一种阵列式传感器数据融合方法的研究

n array-type sensor data fusion method is proposed to fuse multiple sequences of signal measurement and reduce the random measurement error of statistic data, based on support degree and adaptive weighted. For the sequence of signal measurement on the same sensor, the support degree is applied to calculate the comprehensive support degrees and weighting factors of all measurement to compute the weighted sum of the measurements. For the array-type sensors, the measurements on same sensor are processed firstly. Then, the adaptive weighting method is employed to fuse the data of various sensors to minimize the mean square error. The simulation result proves the effectiveness of proposed method.