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Signal-noise separation of sensor signal based on variational mode decomposition

For the problem of strong noisy interference in the data acquisition of the micro electro mechanical system (MEMS) hydrophone, signal-noise separation of the MEMS hydrophone receiving signal make use of the variational mode decomposition (VMD), which is a completely non-recursive variational method. The frequency of the signal is segmented by the default parameters, then the center frequency and the intrinsic mode function (IMF) are obtained. Firstly, the empirical mode decomposition (EMD), the ensemble empirical mode decomposition (EEMD) and the VMD are regarded as a bandpass filter, respectively. And the simulation signal of different signal-to-noise ratio is going to be denoised. According to the denoising effect and performance index, the experiment shows that the denoising effect of the VMD is much better than the previous two methods. Secondly, the VMD is applied to the Fenji experimental data of the North University of China in the lake trial. Finally, the results show that the VMD is one of the best estimation algorithms of MEMS hydrophone original signal.