Analysis and Processing on Stochastic Error of MEMS Sensor
Song Haibi · Chuangan jishu xuebao · 2013
The precision of MEMS sensor limits its scope of application. In order to reduce random errors in MEMS sensors to improve its performance,it is great significance to improve the accuracy of MEMS sensor by analyzing and processing its random error. Firstly,the main stochastic error of the MEMS gyroscopes and accelerometers is analyzed by the Allan variance methods. Then from the perspective of time-frequency,the wavelet transform analysis could separate effectively zero random error,colored noise,white noise from sensor random error. Finally,the analysis results of the experimental data using the wavelet de-noise methods show that,the wavelet analysis has the advantage of separating and reducing the random error.