不同精度数据融合的自适应加权平均法研究  

Self-adaption of Weighted Average Research for Data Fusion with Different Precision

作　　者：董真杰 郑琛瑶[1] 张国龙[1] 

机构地区：[1]91388部队93分队

出　　处：《舰船电子工程》2014年第10期31-33,126,共4页Ship Electronic Engineering

摘　　要：论文针对如何提高水声定位精度,提出了融合多个不同精度数据的方法——自适应加权平均法。当待数据为三个时,通过理论分析得出了计算加权因子的公式。由数值仿真得到了融合数据的精度,结果表明该方法可以有效改善定位精度,但注重数据的融合次序,先融合精度差距较小的两个数据,得到的结果更好。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 result 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.

关 键 词：数据融合 自适应加权平均 模糊理论 融合次序 定位精度 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]