Abstract
In view of the serious modal aliasing phenomenon in the traditional EMD method in the modal decomposition pro-cess, and the complete ensemble empirical modal decomposition method has the problem of the loss of high-frequency useful signals, this paper proposes a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) combined with improved lifting wavelet threshold(LWT) denoising algorithm for gyro signals. In order to filter the noise in the signal more effectively, the article first improves on the soft and hard threshold function de noising methods, and adopts a new wavelet threshold function. Finally, through the Matlab simulations verify the effectiveness of the algorithm. The simulation results show that CEEMDAN combined with improved lifting wavelet threshold is feasible and effective in de noising processing of MEMS gyroscope signals.
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