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.
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.
基金
The National High Technology Research and Development Program of China(863Program)(No.2001AA602021)
