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基于时间序列分析的Kalman滤波方法在MEMS陀螺仪随机漂移误差补偿中的应用研究
引用本文:李 杰,张文栋,刘 俊.基于时间序列分析的Kalman滤波方法在MEMS陀螺仪随机漂移误差补偿中的应用研究[J].传感技术学报,2006,19(5):2215-2219.
作者姓名:李 杰  张文栋  刘 俊
作者单位:中北大学电子科学与技术系电子测试技术国防重点实验室,太原,030051
摘    要:从工程实用的角度出发,探讨了MEMS陀螺仪随机漂移误差的有效补偿方法.首先采用时间序列分析的方法建立了MEMS陀螺仪的随机漂移误差模型,然后阐述了用基于时间序列模型的Kalman滤波方法减小该漂移误差的具体方法.对某MEMS陀螺仪实测数据的误差补偿结果表明,所介绍的滤波方法能够有效地抑制其漂移误差,提高MEMS陀螺仪在实际系统中使用精度.

关 键 词:MEMS陀螺仪  随机漂移误差  时间序列分析  卡尔曼滤波
文章编号:1004-1699(2006)05-2215-05
修稿时间:2006年7月1日

Research on the Application of the Time-Serial Analysis Based Kalman Filter in MEMS Gyroscope Random Drift Compensation
LI Jie,ZHANG Wen-dong,LIU Jun.Research on the Application of the Time-Serial Analysis Based Kalman Filter in MEMS Gyroscope Random Drift Compensation[J].Journal of Transduction Technology,2006,19(5):2215-2219.
Authors:LI Jie  ZHANG Wen-dong  LIU Jun
Affiliation:National Key Laboratory for Electronic Measurement Technology, Taiyuan 030051; Department of Electronic Science and Technology, North University of China, Taiyuan, 030051
Abstract:The compensating method for MEMS gyroscope random drift error is discussed. First its drift error model is created by using the time-serial analysis, then the process of decreasing this drift error by making use of Kalman filter based on the above error model is expounded. The compensating results for the practical testing data of a MEMS gyroscope show, the drift error can be controlled effectively by the filtering method presented, and its application precision in practical system can be further proved.
Keywords:MEMS gyroscope  random drift error  time-series analysis  kalman filter
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