Kalman Filtering of MEMS Gyro Based on Time-series Model

摘要：

The algorithms and the applications of Kalman filtering of MEMS Gyro based on time-series model are presented in this paper. Gyro signals are preprocessed and modeled by time-series analysis theory to filter by Kalman filtering method. Then the signal is filtered after Kalman filter. Examples with actual experiment demonstrate that the method has apparent superiority. The results of the simulation indicate valid and practical on Kalman filtering of MEMS Gyro. This method can also be used to process the output signal of other kinds of Gyros.

关键词： MEMS Gyro time-series model kalman filtering.

作者: Yang PeiPei Li Qing

作者单位: Institute of Intelligence Control,University of Beijing Information Science & Technology,Beijing,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 1444-1447

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）