不同精度数据融合的自适应加权平均法研究磁

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 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 .