一种自适应二次数据融合算法  

Adaptive second data fusion algorithm

作　　者：肖龙远[1] 曾超[1] 

机构地区：[1]中国工程物理研究院电子工程研究所,四川绵阳621900

出　　处：《传感器与微系统》2007年第4期81-83,共3页Transducer and Microsystem Technologies

摘　　要：针对多传感器测量数据,基于最小均方加权方法,提出了自适应计算各传感器测量方差的方法,并推导出了递推公式。结合灰色系统理论的绝对关联度定义,提出了基于自适应方法的二次数据融合算法,并给出了算法框图。最后,通过仿真计算验证了该算法的有效性。To deal with multi-sensor measurement, based on the weighted least squares （WLSs）method, an adaptive algorithm to calculate each sensor＇ s measurement variance is presented, and the recursion formula is deduced. Combining the definition of absolute correlation degree of the grey system theory, a second data fusion algorithm based on the adaptive method is presented, the algorithm bolck diagram is also presented. The efficiency of this algorithm is validated by the simulation.

关 键 词：数据融合 最小均方加权 自适应 灰色系统理论 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]