Self-adaption of Weighted Average Research for Data Fusion with Different Precision
DONG Zhenjie
ZHENG Chenyao
ZHANG Guolong
Abstract：This paper presents a fusion approach for multiple data with different precision to increase acoustic position precision which is a self-adaption the weighted average .Through theoretic analysis ,the formula is obtained to calculate the weighted parameter for fusion of the uniform distribution data .The fusion precision is got by numerical simulation .The re-sult shows that this approach can enhance precision obviously .But the fusion order is important which means that fusing the two data with less different precision at first will get better result .
Keywords：data fusionself-adaption of weighted averagefuzzy theoryfusion orderposition precision
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 31-33,126 )