Improved wavelet threshold denoising method for MEMS gyroscope

Abstract

The random noise is an important factor that affects the precision of MEMS gyroscope. Analyzed the noise characteristic of gyroscope by using Allan variance, introduced the thought of wavelet threshold de-noising method, and presented an improved wavelet threshold quantization function. Expatriate the complete build process of wavelet threshold denoising scheme and examined the effectiveness and repeatability of the scheme. Static and dynamic tests show that: the program can effectively eliminate random noise MEMS gyroscopes, improved stability characteristics of the signal.