多传感器加权信息融合算法研究

Applying Random Weighted Information Estimation to Implementing a New Fusion Algorithm for Multi-Sensors

将新兴的随机加权估计应用于多传感器信息融合,文章提出一种基于随机加权估计的多传感器信息融合算法,用于解决多传感器对目标同一参数进行测量时权的最优分配问题。仿真结果表明,文中提出的随机加权融合估计算法优于传统的平均值估计融合算法,并且随着测量次数的增大,均方误差越来越小。

The introduction of the full paper review Refs.1 through 8,of which the first author of Refs.6,7 and 8 is the 3rd author of this paper;then it proposes the new fusion algorithm mentioned in the title.Section 1 devotes five subsections to explaining how to implement this new algorithm;in it,egs.（17）,（18）,（23）,（24） and（25） are the most important.Numerical simulation results,presented in Fig.1 and 2,show preliminarily that our new random weighting fusion algorithm＇s performance is significantly better than that of traditional mean-value fusion algorithm.