CAJ | 학술논문

提出了一种基于支持度和自适应加权的阵列式传感器数据融合方法。其特点是通过关联融合多组测量信号序列以降低静态数据的随机测量误差。对单传感器测量信号序列，采用支持度方法计算每个测量数据的综合支持度和加权因子，然后对测量信号序列进行加权融合。对阵列式传感器多组测量信号序列，基于单传感器数据融合，利用自适应加权方法，在总均方误差最小意义下进行多组测量信号序列数据融合。仿真结果表明，该阵列式传感器数据融合方法是有效的。
제출료일충기우지지도화자괄응가권적진렬식전감기수거융합방법。기특점시통과관련융합다조측량신호서렬이강저정태수거적수궤측량오차。대단전감기측량신호서렬，채용지지도방법계산매개측량수거적종합지지도화가권인자，연후대측량신호서렬진행가권융합。대진렬식전감기다조측량신호서렬，기우단전감기수거융합，이용자괄응가권방법，재총균방오차최소의의하진행다조측량신호서렬수거융합。방진결과표명，해진렬식전감기수거융합방법시유효적。
An 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 measure-ment 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.