Research on MEMS Gyroscope Random Drift Filtering

MEMS gyroscope is a new type of inertial sensor with small size,low cost,light weight,high reliability and so on.However,it is less precise with random errors.Aiming at application in practical engineering and dealing with MEMS gyroscope random errors,real-time average filtering is first processed,and then the first-order AR model of MEMS gyroscope random error is established on the basis of principles of time series analysis of random sequence.Finally,based an Markor properties of kalman filtering algorithm,a new method is proposed that each of the MEMS gyroscope output is multiple real-time filtered.Through the specific measurement data processing,MEMS gyroscope random errors are reduced to about two percent of the original one.