A Novel Adaptive Interference Canceller Based on Empirical Mode Decomposition

摘要

A novel adaptive interference canceller(AIC) based on empirical mode decomposition(EMD) is presented in this paper. Specifically, the method is applied to the electromagnetic radiation measurement with nonstationary ambient electromagnetic interference(EMI). At first, the electromagnetic radiation signal with EMI noise is decomposed to different intrinsic mode functions which represent signals with different frenquencies by the EMD method. Therefor, the complicated electromagnetic signal is divided to many single frequency signals. Because of the different characteristic between the useful electromagnetic signal and EMI noise, an improved least mean square algorithm is applied to the adaptive interference canceller to eliminate the EMI noise. Experimental results show that the method has better noise cancellation capability compared to the traditional adaptive noise canceller. At the same time, the novel adaptive interference canceller improves the speed and precision of electromagnetic radiation measurement, so it can be introduced to the engineering application.