Research of Noise Suppression for MEMS Gyro ADXRS150

摘要：

The random drift of MEMS gyro is too large due to these effects of external environmental factors and manufacturing imperfect. In order to compensate the random drift error of an ADXRS150 MEMS gyro, in this paper, the output of ADXRS1S0 in static are sampled. Then based on the time series theory, ARIMA model of ADXRSI50 output data is established. Taken this model as the state equation and the sampled data as the measurement equation, the Kalman filter is designed to process the data. These conclusions in the final part of this paper indicate that the model and the filtering method can restrain the gyro noise of the MEMS gyro ADXRS150 and improve its precision effectively and greatly.

关键词： drift error the time series theory Kalman filter noise suppression

作者: Yuanyuan Wang Yanshun Zhang

作者单位: School of Instrument Science & Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics Beijing, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 296-299

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）