Abstract: For the modal aliasing existing in empirical mode decomposition and the noise-sensitive problem of Prony algorithm,a method with the combination of Prony based on Ensemble Empirical Mode Decomposition and Robust Independent Component Analysis was applied to the detection of harmonics and inter-harmonics.First of all,the noise containing harmonic signals was subjected to general empirical mode decomposition to obtain different orders of intrinsic mode functions.Then,it was used as the input of the robust independent component analysis method,and the achieved independent components would be processed by soft-threshold denoising method to attain reconstructed IMFs,which would be added up to acquire denoised signal to be identified with Prony algorithm to identify the parameters of the harmonic signal.The simulation results show that the method has a good antinoise and overcomes the disadvantages of Prony algorithm to noise sensitivity,which effectively improves the accuracy of harmonic and inter-harmonic detection.

Key words: General empirical mode decomposition, Harmonic and inter-harmonic, Prony algorithm, Robust independent analysis method, Soft threshold denoising