Title: Research on Noise Reduction Optimization of MEMS Gyroscope Based on Intelligent Technology
Abstract: Abstract By analysing the principle of the threshold denoising algorithm in the wavelet analysis method, according to the mathematical model of the MEMS gyroscope signal drift, the wavelet threshold denoising method is used to denoise the output of the MEMS gyroscope in real time. And the algorithm After being applied to a MEMS gyroscope strapdown inertial navigation system based on DSP, the system’s MEMS gyroscope is tested for zero drift. Through the analysis of the whole system test results, the wavelet threshold denoising method is used to suppress the zero drift of the MEMS gyroscope and improve the MEMS gyroscope. The zero-bias stability of the MEMS gyroscope has a good effect, which confirms the ideal effect of the wavelet threshold denoising method in the noise processing of the MEMS gyroscope.