A Noise Reduction Method for MEMS Gyroscope Based on Direct Modeling and Kalman Filter ?

摘要

This paper focus on the topic of reducing the random noise in the output data of MEMS gyroscope and improving the accuracy of MEMS gyroscope. Aiming at the problems that the previous methods are not suitable for dynamic data and difficult to realize real-time online processing, a direct modeling method is proposed to establish the output data model of MEMS gyroscope. Based on this model, the kalman filter is designed to process the output data. The experimental results show that the proposed method has good performance on both static data and dynamic data.