A data fusion method based on weight iterative correction

Abstract

In multisensor data fusion, optimal weighted fusion is a better method. In order to solve the weight problem in multisensor data fusion process better, an iterative weight correction method based on the optimal weight distribution principle is proposed. First, the reference sequence is constructed. Secondly, the mean and standard deviation of the measured data of each sensor are determined according to the reference sequence. Finally, the weight value of each sensor in the data fusion process is determined according to the standard deviation.