基于刀切法与自适应加权的多传感器信息融合算法

针对加权平均、最优加权、自适应加权多传感器信息融合算法的不足,提出采用刀切法与自适应加权方法相结合的信息融合算法。该算法在自适应加权的基础上充分利用观测值与各个历史时刻的估计值,通过构造伪值分别对估计值与加权因子进行Quenouille估计。实验结果表明,在经过刀切法与自适应加权相结合后,数据处理的精确性和稳健性方面都优于普通的处理方法。

Multi-sensor Information Fusion Algorithm Based on Jackknife and Adaptive Weighted

Aimed at the existence of noise in congeneric multi-sensor measurement,the weighted average,the optimal weighting,and the adaptive weighted method of data fusion are used,respective advantages and disadvantages are judged from the simulation result.According to the simulation results,Jackknife and adaptive weighted method of combining data fusion method is proposed,and the Jackknife Queniuille is used estimated respectively from two aspects of the weighting coefficient and the estimated value.The experimental results show that,after this new method＇s used,the accuracy and robustness of its data processing is superior to ordinary processing method＇s.