Novel Adaptive MEMS Gyroscope Filtering Algorithm

This paper briefly analyses the noise sources in the use model of micro-electro-mechanical system gyroscope, and introduces an improved design method of adaptive smoothing filter to adjust the filter coefficients by increasing the filter threshold to achieve the noise reduction processing of MEMS gyroscope data. The experimental results show that the improved adaptive smoothing filtering algorithm can effectively suppress the high frequency noise in the gyroscope output signal, improve the measurement accuracy of the gyroscope, and achieve good filtering effect, which helps the stable flight of the quadcopter.