Research on MEMS gyroscope signal denoising based compressed sensing theory

Through analyzing the limitation of wavelet threshold filter, this paper applies wavelet filter based on compressed sensing to reduce the signal noise of low accuracy (micro electro mechanical system, MEMS) gyroscope, and compares the two methods through experiments. The experiment result shows that the wavelet filter based on compressed sensing can effectively reduce the signal noise of MEMS gyroscope; and the denoising effect of the method is better than that of wavelet filter while its compression rate is comparatively large. The method can improve the bias stability of low accuracy MEMS gyroscope, and provide a new approach for reducing the signal noise of low accuracy MEMS gyroscope in practice.