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.
出处
《传感器与微系统》
CSCD
北大核心
2007年第4期81-83,共3页
Transducer and Microsystem Technologies
关键词
数据融合
最小均方加权
自适应
灰色系统理论
data fusion
weighted least squares (WLSs)
adaptive
grey system theory