A New Multi-sensor Data Fusion Algorithm Based on EMD-MMSE

被引：2
|
作者：
张琦
阙沛文
陈天璐
黄晶
机构：
[1] China
[2] Inst.of Automation Detection Shanghai Jiaotong Univ.
[3] Shanghai 200240
来源：
Journal of Shanghai Jiaotong University(Science) | 2007年 / 02期
基金：
国家高技术研究发展计划(863计划);
关键词：
data fusion; empirical mode decomposition(EMD); minimum mean square error(MMSE); multi-sensor system;
D O I：
暂无
中图分类号：
TP301.6 [算法理论];
学科分类号：
081202 ;
摘要：
A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean square error(MMSE)estimator is used to calculate the weights of the corresponding series.Finally,the fused signal is the weighted addition of all these series.The experiments in lab testified the efficiency of this method.In addition,the comparison in fusion time and fusion results with existing fusion method based on wavelet and average technique shows the advantage of this method greatly.
引用
收藏
页码：153 / 158
页数：6
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